diff --git a/404.html b/404.html index 5ab5dbf..70d2365 100644 --- a/404.html +++ b/404.html @@ -1 +1 @@ -404: This page could not be found

404

This page could not be found.

\ No newline at end of file +404: This page could not be found

404

This page could not be found.

\ No newline at end of file diff --git a/_next/data/1eqVGPhmuQ3vKYsEFP0b1/calendar.json b/_next/data/WRf7XMZKNTU0DK8S4KMw_/calendar.json similarity index 100% rename from _next/data/1eqVGPhmuQ3vKYsEFP0b1/calendar.json rename to _next/data/WRf7XMZKNTU0DK8S4KMw_/calendar.json diff --git a/_next/data/1eqVGPhmuQ3vKYsEFP0b1/contact.json b/_next/data/WRf7XMZKNTU0DK8S4KMw_/contact.json similarity index 100% rename from _next/data/1eqVGPhmuQ3vKYsEFP0b1/contact.json rename to _next/data/WRf7XMZKNTU0DK8S4KMw_/contact.json diff --git a/_next/data/1eqVGPhmuQ3vKYsEFP0b1/index.json b/_next/data/WRf7XMZKNTU0DK8S4KMw_/index.json similarity index 58% rename from _next/data/1eqVGPhmuQ3vKYsEFP0b1/index.json rename to _next/data/WRf7XMZKNTU0DK8S4KMw_/index.json index 2b202c2..8f2a34b 100644 --- a/_next/data/1eqVGPhmuQ3vKYsEFP0b1/index.json +++ b/_next/data/WRf7XMZKNTU0DK8S4KMw_/index.json @@ -1 +1 @@ -{"pageProps":{"companies":[{"companies":[{"name":"Rocket Companies","link":"https://www.myrocketcareer.com/","image":"rocket-company.png"},{"name":"PwC","link":"https://www.pwc.com/","image":"pwc.png"},{"name":"Bloomberg","link":"https://www.bloomberg.com/","image":"bloomberg.png"},{"name":"Dominos","link":"https://www.dominos.com/","image":"dominos.png"},{"name":"Figma","link":"https://www.figma.com/","image":"figma.png"},{"name":"Discover","link":"https://www.discover.com/","image":"discover.png"},{"name":"Capital One","link":"https://www.capitalone.com/","image":"capital-one.png"},{"name":"Nissan","link":"https://www.nissan-global.com/","image":"nissan.png"},{"name":"Rockstar Games","link":"https://www.rockstargames.com/","image":"rockstar-games.png"}]}],"sponsors":[{"type":"large","sponsors":[{"name":"Rocket Companies","link":"https://www.myrocketcareer.com/","image":"rocket.png"},{"name":"Discover","link":"https://www.discover.com/","image":"discover.png"},{"name":"Wolverine Trading","link":"https://www.wolve.com/","image":"wolve.png"}],"tier":"MDST is made possible by our sponsors"},{"type":"small","sponsors":[{"name":"Engineering Student Government","link":"https://esg.engin.umich.edu/","image":"esg.png"},{"name":"Michigan Institute for Data Science","link":"https://midas.umich.edu/","image":"midas.png"},{"name":"University of Michigan School of Information","link":"https://www.si.umich.edu/","image":"umsi.png"}]}],"projects":[{"name":"LLM Augmentation","image":"llm_augmentation.png","link":"https://github.com/MichiganDataScienceTeam/W24-llm-augmentation"},{"name":"Image Colorization","image":"image_colorization.png","link":"https://docs.google.com/document/d/19CekIh2sZGKKMoRA5VNFEcjNGHc9GEYt/"},{"name":"Real Vs Fake Face","image":"rvf.png","link":"https://github.com/MichiganDataScienceTeam/W24-RvF/tree/main"}],"timeline":{"show_on_homepage":true,"title":"Recruiting Timeline Fall 2024","events":[{"title":"Mass Meeting 1","time":"September 2nd 6:30-7:30pm","description":"Join us to learn more about MDST and how to become a member."},{"title":"Mass Meeting 2","time":"September 3rd 6:30-7:30pm","description":"Join us to learn more about MDST and how to become a member."},{"title":"Tutorial 1 @ TBD","time":"September 4th 7pm - 9pm","description":"Introduction to the command line and Python."},{"title":"Project Exploration Fair @ CCCB 2460","time":"September 8th","description":"Meet with project leads and get to know the project offerings for this semester."},{"title":"Office Hours 1 @ TBD","time":"September 11th 7:00pm - 9:00pm","description":"Troubleshooting session for setup, tutorials, and checkpoints."},{"title":"Office Hours 2 @ TBD","time":"September 14th 2:00pm - 4:00pm","description":"Troubleshooting session for setup, tutorials, and checkpoints."},{"title":"Tutorial Submission Due","time":"September 16th 11:59pm","description":"Submit your completed tutorial materials for acceptance into the club."},{"title":"Project Work Session @ CCCB 3420 and CCCB 2460","time":"September 22nd 12:15pm - 3pm","description":"Start working on data science projects!"}]},"communityImages":[{"name":"","image":"WN24_EXPO.JPG"},{"name":"","image":"WN24_DSN.JPG"}]},"__N_SSG":true} \ No newline at end of file +{"pageProps":{"companies":[{"companies":[{"name":"Rocket Companies","link":"https://www.myrocketcareer.com/","image":"rocket-company.png"},{"name":"PwC","link":"https://www.pwc.com/","image":"pwc.png"},{"name":"Bloomberg","link":"https://www.bloomberg.com/","image":"bloomberg.png"},{"name":"Dominos","link":"https://www.dominos.com/","image":"dominos.png"},{"name":"Figma","link":"https://www.figma.com/","image":"figma.png"},{"name":"Discover","link":"https://www.discover.com/","image":"discover.png"},{"name":"Capital One","link":"https://www.capitalone.com/","image":"capital-one.png"},{"name":"Nissan","link":"https://www.nissan-global.com/","image":"nissan.png"},{"name":"Rockstar Games","link":"https://www.rockstargames.com/","image":"rockstar-games.png"}]}],"sponsors":[{"type":"large","sponsors":[{"name":"Rocket Companies","link":"https://www.myrocketcareer.com/","image":"rocket.png"},{"name":"Discover","link":"https://www.discover.com/","image":"discover.png"},{"name":"Wolverine Trading","link":"https://www.wolve.com/","image":"wolve.png"}],"tier":"MDST is made possible by our sponsors"},{"type":"small","sponsors":[{"name":"Engineering Student Government","link":"https://esg.engin.umich.edu/","image":"esg.png"},{"name":"Michigan Institute for Data Science","link":"https://midas.umich.edu/","image":"midas.png"},{"name":"University of Michigan School of Information","link":"https://www.si.umich.edu/","image":"umsi.png"}]}],"projects":[{"name":"LLM Augmentation","image":"llm_augmentation.png","link":"https://github.com/MichiganDataScienceTeam/W24-llm-augmentation"},{"name":"Image Colorization","image":"image_colorization.png","link":"https://docs.google.com/document/d/19CekIh2sZGKKMoRA5VNFEcjNGHc9GEYt/"},{"name":"Real Vs Fake Face","image":"rvf.png","link":"https://github.com/MichiganDataScienceTeam/W24-RvF/tree/main"}],"timeline":{"show_on_homepage":true,"title":"Recruiting Timeline Fall 2024","events":[{"title":"Mass Meeting 1 @ Michigan Union - Kuenzel Room","time":"September 2nd 6:30-7:30pm","description":"Join us to learn more about MDST and how to become a member."},{"title":"Mass Meeting 2 @ Michigan League - Henderson Room","time":"September 3rd 6:30-7:30pm","description":"Join us to learn more about MDST and how to become a member."},{"title":"Tutorial 1 @ TBD","time":"September 4th 7pm - 9pm","description":"Introduction to the command line and Python."},{"title":"Project Exploration Fair @ CCCB 2460","time":"September 8th","description":"Meet with project leads and get to know the project offerings for this semester."},{"title":"Office Hours 1 @ TBD","time":"September 11th 7:00pm - 9:00pm","description":"Troubleshooting session for setup, tutorials, and checkpoints."},{"title":"Office Hours 2 @ TBD","time":"September 14th 2:00pm - 4:00pm","description":"Troubleshooting session for setup, tutorials, and checkpoints."},{"title":"Tutorial Submission Due","time":"September 16th 11:59pm","description":"Submit your completed tutorial materials for acceptance into the club."},{"title":"Project Work Session @ CCCB 3420 and CCCB 2460","time":"September 22nd 12:15pm - 3pm","description":"Start working on data science projects!"}]},"communityImages":[{"name":"","image":"WN24_EXPO.JPG"},{"name":"","image":"WN24_DSN.JPG"}]},"__N_SSG":true} \ No newline at end of file diff --git a/_next/data/1eqVGPhmuQ3vKYsEFP0b1/join.json b/_next/data/WRf7XMZKNTU0DK8S4KMw_/join.json similarity index 84% rename from _next/data/1eqVGPhmuQ3vKYsEFP0b1/join.json rename to _next/data/WRf7XMZKNTU0DK8S4KMw_/join.json index 46e11e5..1a25afb 100644 --- a/_next/data/1eqVGPhmuQ3vKYsEFP0b1/join.json +++ b/_next/data/WRf7XMZKNTU0DK8S4KMw_/join.json @@ -1 +1 @@ -{"pageProps":{"join_info":"## Instructions\n\nThank you for your interest in joining MDST! We're super excited to get you started on the process for joining the club.\n\n### Step 1: Sign up for our mailing list\n\nOur mailing list is going to be the fastest way for us to reach you with the latest information on how to join, mass meetings, and other onboarding events. Fill out the [interest form](https://forms.gle/MYYA8pqXLMuqb93F7)) linked below to be added to our mailing list.\n\n

Interest Form

\n\n\n\n
\n\n### Step 2 (Optional): Attend our Mass Meetings\n\nMDST is hosting two mass meetings this year. Join us on September 2nd, 2024 or September 3rd, 2024 from 6:30 PM to 7:30 PM. At these meetings, we will discuss details about our club, what we do, and how to join. You'll also have the opportunity to ask questions you may have about joining.\n\nTake a look at our slides and recording from last semester's mass meeting:\n\n

Mass Meeting Slides

\n

Mass Meeting Recording

\n\n
\n\n### Step 3: Complete Tutorial Checkpoints\n\nNew members are required to **complete two tutorials** giving an introduction to data science and programming in Python. The purpose of these tutorials is to make sure that all of our members, despite their background, are able to equally contribute to MDST projects.\n\n
\n The tutorials for Fall 2024 are now published in the tutorial GitHub [repository](https://github.com/MichiganDataScienceTeam/MDST-Onboarding). The repository contains all the materials and instructions you need to complete the tutorials, as well as information about the support we provide if you have any questions.\n
\n\nNote: Please direct all technical and logistical questions regarding tutorials to our forum for better visibility.\n\n
\n\n### Step 4: Submit Tutorials\n\nAs a final step to join the club, you must submit your tutorials certifying that you've completed the fundamental requirements to join the club. \n\nSee our [Tutorials Repo](https://github.com/MichiganDataScienceTeam/MDST-Onboarding) for information on completing and submiting the tutorials. \n- If your checkpoints are incomplete, then you will not be allowed to join MDST for that semester. In such circumstance, you may attempt the checkpoints again the next semester and resubmit.\n\n\nThe tutorial submission form will be due **September 16th, 11:59 PM**, after which we will no longer accept sign-ups to join MDST for the Fall 2024 semester. \n\n
\n\n### Step 5: Attend the Project Exploration Fair\n\nAfter joining the club, we will host a project exploration fair on **September 8th, 2024** to share the projects which we will run this semester. You can speak with our project leads and learn first-hand about the type of work being done in each project, what the prerequistes are, and if the project is a good fit for you.\n\nAfter attending, you will be given access to a form to specify your top 3 project choices, from which we will place you into your preferred project (subject to constraints and appropriate difficulty).\n\n
\n ⚠️ You **must attend** the exploration fair to be placed on a project this semester. If you are unable to attend but would still like to participate in projects, you must [email us](mailto:mdst-coms@umich.edu) in advance letting us know, and we will consider your request on a case-by-case basis. If emailing us, please include `[EXPLORATION FAIR]` in your email title.\n
\n","faq":"## FAQ\n\n### Are there any requirements to join?\n\n**No!** We welcome all University of Michigan students, regardless of academic level or major.\n\n### I have no data science experience. Can I join?\n\n**Yes!** Everyone is welcome to join the team! In fact, most of our members have very little data science experience prior to joining. Our goal is to help you learn the data skills necessary to contribute to our projects and perform data science on your own. We do strongly recommend newcomers attend our introductory tutorials, as they will teach you the basics of the tools we use and are also a great opportunity to meet others in the same boat!\n\n### During onboarding, are the new member mass meeting/tutorial/office hours mandatory?\n\nNo, they are not.\n\n### When is the regular meeting time of MDST?\n\nWe meet on all Sundays (except for holidays) from 12-3 for a mandatory work session. You are permitted to miss a few of these but we unfortunately cannot accept you if you have a hard conflict.\n\nWe also meet on Thursdays from 6-7 for optional social and professional events such as guest speakers and networking sessions.\n\nFor a detailed schedule, please see our [events calendar](https://calendar.google.com/calendar/embed?src=c_22ca0c151585760442cad5796fb91bd18b7db11d813e9143e38549aadce65afe%40group.calendar.google.com&ctz=America%2FNew_York).\n\n### Will I be able to choose which project team I am on?\n\nYes! After you join the club, you will be asked to rank your top 5 projects after talking with project leaders. Historically, 90+% of people are placed into one of their top two preferences.\n\n### How much time commitment do you require?\n\nMost MDST members spend 3 hours weekly for work sessions + 1 hour for socials on Thursday, totaling about 4 hours per week. This may vary based on the project and level of familiarity with data science.\n\n### Does MDST allow for remote participation?\n\nMDST is primarily an in-person club, and all of our events and work sessions are held in-person on campus. We allow remote participation for our projects, but not for our other events. We recommend attending our meetings in-person whenever possible to maximize your experience with the club.\n\n### What languages do you use?\n\nWe primarily use **Python** for our projects. If you are an R user, we recommend checking out some helpful tutorials from [DataCamp](https://www.google.com/url?q=https%3A%2F%2Fwww.datacamp.com%2Fcourses%2Fpython-for-r-users&sa=D&sntz=1&usg=AOvVaw0EGZ-9JrV1X0Kls2TJ_r7j).\n\n### I am not a student at the University of Michigan. Can I join?\n\n**No.** We only accept Umich students.\n","timeline":{"show_on_homepage":true,"title":"Recruiting Timeline Fall 2024","events":[{"title":"Mass Meeting 1","time":"September 2nd 6:30-7:30pm","description":"Join us to learn more about MDST and how to become a member."},{"title":"Mass Meeting 2","time":"September 3rd 6:30-7:30pm","description":"Join us to learn more about MDST and how to become a member."},{"title":"Tutorial 1 @ TBD","time":"September 4th 7pm - 9pm","description":"Introduction to the command line and Python."},{"title":"Project Exploration Fair @ CCCB 2460","time":"September 8th","description":"Meet with project leads and get to know the project offerings for this semester."},{"title":"Office Hours 1 @ TBD","time":"September 11th 7:00pm - 9:00pm","description":"Troubleshooting session for setup, tutorials, and checkpoints."},{"title":"Office Hours 2 @ TBD","time":"September 14th 2:00pm - 4:00pm","description":"Troubleshooting session for setup, tutorials, and checkpoints."},{"title":"Tutorial Submission Due","time":"September 16th 11:59pm","description":"Submit your completed tutorial materials for acceptance into the club."},{"title":"Project Work Session @ CCCB 3420 and CCCB 2460","time":"September 22nd 12:15pm - 3pm","description":"Start working on data science projects!"}]}},"__N_SSG":true} \ No newline at end of file +{"pageProps":{"join_info":"## Instructions\n\nThank you for your interest in joining MDST! We're super excited to get you started on the process for joining the club.\n\n### Step 1: Sign up for our mailing list\n\nOur mailing list is going to be the fastest way for us to reach you with the latest information on how to join, mass meetings, and other onboarding events. Fill out the [interest form](https://forms.gle/MYYA8pqXLMuqb93F7)) linked below to be added to our mailing list.\n\n

Interest Form

\n\n\n\n
\n\n### Step 2 (Optional): Attend our Mass Meetings\n\nMDST is hosting two mass meetings this year. Join us on September 2nd, 2024 or September 3rd, 2024 from 6:30 PM to 7:30 PM. At these meetings, we will discuss details about our club, what we do, and how to join. You'll also have the opportunity to ask questions you may have about joining.\n\nTake a look at our slides and recording from last semester's mass meeting:\n\n

Mass Meeting Slides

\n

Mass Meeting Recording

\n\n
\n\n### Step 3: Complete Tutorial Checkpoints\n\nNew members are required to **complete two tutorials** giving an introduction to data science and programming in Python. The purpose of these tutorials is to make sure that all of our members, despite their background, are able to equally contribute to MDST projects.\n\n
\n The tutorials for Fall 2024 are now published in the tutorial GitHub [repository](https://github.com/MichiganDataScienceTeam/MDST-Onboarding). The repository contains all the materials and instructions you need to complete the tutorials, as well as information about the support we provide if you have any questions.\n
\n\nNote: Please direct all technical and logistical questions regarding tutorials to our forum for better visibility.\n\n
\n\n### Step 4: Submit Tutorials\n\nAs a final step to join the club, you must submit your tutorials certifying that you've completed the fundamental requirements to join the club. \n\nSee our [Tutorials Repo](https://github.com/MichiganDataScienceTeam/MDST-Onboarding) for information on completing and submiting the tutorials. \n- If your checkpoints are incomplete, then you will not be allowed to join MDST for that semester. In such circumstance, you may attempt the checkpoints again the next semester and resubmit.\n\n\nThe tutorial submission form will be due **September 16th, 11:59 PM**, after which we will no longer accept sign-ups to join MDST for the Fall 2024 semester. \n\n
\n\n### Step 5: Attend the Project Exploration Fair\n\nAfter joining the club, we will host a project exploration fair on **September 8th, 2024** to share the projects which we will run this semester. You can speak with our project leads and learn first-hand about the type of work being done in each project, what the prerequistes are, and if the project is a good fit for you.\n\nAfter attending, you will be given access to a form to specify your top 3 project choices, from which we will place you into your preferred project (subject to constraints and appropriate difficulty).\n\n
\n ⚠️ You **must attend** the exploration fair to be placed on a project this semester. If you are unable to attend but would still like to participate in projects, you must [email us](mailto:mdst-coms@umich.edu) in advance letting us know, and we will consider your request on a case-by-case basis. If emailing us, please include `[EXPLORATION FAIR]` in your email title.\n
\n","faq":"## FAQ\n\n### Are there any requirements to join?\n\n**No!** We welcome all University of Michigan students, regardless of academic level or major.\n\n### I have no data science experience. Can I join?\n\n**Yes!** Everyone is welcome to join the team! In fact, most of our members have very little data science experience prior to joining. Our goal is to help you learn the data skills necessary to contribute to our projects and perform data science on your own. We do strongly recommend newcomers attend our introductory tutorials, as they will teach you the basics of the tools we use and are also a great opportunity to meet others in the same boat!\n\n### During onboarding, are the new member mass meeting/tutorial/office hours mandatory?\n\nNo, they are not.\n\n### When is the regular meeting time of MDST?\n\nWe meet on all Sundays (except for holidays) from 12-3 for a mandatory work session. You are permitted to miss a few of these but we unfortunately cannot accept you if you have a hard conflict.\n\nWe also meet on Thursdays from 6-7 for optional social and professional events such as guest speakers and networking sessions.\n\nFor a detailed schedule, please see our [events calendar](https://calendar.google.com/calendar/embed?src=c_22ca0c151585760442cad5796fb91bd18b7db11d813e9143e38549aadce65afe%40group.calendar.google.com&ctz=America%2FNew_York).\n\n### Will I be able to choose which project team I am on?\n\nYes! After you join the club, you will be asked to rank your top 5 projects after talking with project leaders. Historically, 90+% of people are placed into one of their top two preferences.\n\n### How much time commitment do you require?\n\nMost MDST members spend 3 hours weekly for work sessions + 1 hour for socials on Thursday, totaling about 4 hours per week. This may vary based on the project and level of familiarity with data science.\n\n### Does MDST allow for remote participation?\n\nMDST is primarily an in-person club, and all of our events and work sessions are held in-person on campus. We allow remote participation for our projects, but not for our other events. We recommend attending our meetings in-person whenever possible to maximize your experience with the club.\n\n### What languages do you use?\n\nWe primarily use **Python** for our projects. If you are an R user, we recommend checking out some helpful tutorials from [DataCamp](https://www.google.com/url?q=https%3A%2F%2Fwww.datacamp.com%2Fcourses%2Fpython-for-r-users&sa=D&sntz=1&usg=AOvVaw0EGZ-9JrV1X0Kls2TJ_r7j).\n\n### I am not a student at the University of Michigan. Can I join?\n\n**No.** We only accept Umich students.\n","timeline":{"show_on_homepage":true,"title":"Recruiting Timeline Fall 2024","events":[{"title":"Mass Meeting 1 @ Michigan Union - Kuenzel Room","time":"September 2nd 6:30-7:30pm","description":"Join us to learn more about MDST and how to become a member."},{"title":"Mass Meeting 2 @ Michigan League - Henderson Room","time":"September 3rd 6:30-7:30pm","description":"Join us to learn more about MDST and how to become a member."},{"title":"Tutorial 1 @ TBD","time":"September 4th 7pm - 9pm","description":"Introduction to the command line and Python."},{"title":"Project Exploration Fair @ CCCB 2460","time":"September 8th","description":"Meet with project leads and get to know the project offerings for this semester."},{"title":"Office Hours 1 @ TBD","time":"September 11th 7:00pm - 9:00pm","description":"Troubleshooting session for setup, tutorials, and checkpoints."},{"title":"Office Hours 2 @ TBD","time":"September 14th 2:00pm - 4:00pm","description":"Troubleshooting session for setup, tutorials, and checkpoints."},{"title":"Tutorial Submission Due","time":"September 16th 11:59pm","description":"Submit your completed tutorial materials for acceptance into the club."},{"title":"Project Work Session @ CCCB 3420 and CCCB 2460","time":"September 22nd 12:15pm - 3pm","description":"Start working on data science projects!"}]}},"__N_SSG":true} \ No newline at end of file diff --git a/_next/data/1eqVGPhmuQ3vKYsEFP0b1/links.json b/_next/data/WRf7XMZKNTU0DK8S4KMw_/links.json similarity index 100% rename from _next/data/1eqVGPhmuQ3vKYsEFP0b1/links.json rename to _next/data/WRf7XMZKNTU0DK8S4KMw_/links.json diff --git a/_next/data/1eqVGPhmuQ3vKYsEFP0b1/projects.json b/_next/data/WRf7XMZKNTU0DK8S4KMw_/projects.json similarity index 100% rename from _next/data/1eqVGPhmuQ3vKYsEFP0b1/projects.json rename to _next/data/WRf7XMZKNTU0DK8S4KMw_/projects.json diff --git a/_next/data/1eqVGPhmuQ3vKYsEFP0b1/sponsors.json b/_next/data/WRf7XMZKNTU0DK8S4KMw_/sponsors.json similarity index 100% rename from _next/data/1eqVGPhmuQ3vKYsEFP0b1/sponsors.json rename to _next/data/WRf7XMZKNTU0DK8S4KMw_/sponsors.json diff --git a/_next/data/1eqVGPhmuQ3vKYsEFP0b1/team.json b/_next/data/WRf7XMZKNTU0DK8S4KMw_/team.json similarity index 100% rename from _next/data/1eqVGPhmuQ3vKYsEFP0b1/team.json rename to _next/data/WRf7XMZKNTU0DK8S4KMw_/team.json diff --git a/_next/static/1eqVGPhmuQ3vKYsEFP0b1/_buildManifest.js b/_next/static/WRf7XMZKNTU0DK8S4KMw_/_buildManifest.js similarity index 100% rename from _next/static/1eqVGPhmuQ3vKYsEFP0b1/_buildManifest.js rename to _next/static/WRf7XMZKNTU0DK8S4KMw_/_buildManifest.js diff --git a/_next/static/1eqVGPhmuQ3vKYsEFP0b1/_ssgManifest.js b/_next/static/WRf7XMZKNTU0DK8S4KMw_/_ssgManifest.js similarity index 100% rename from _next/static/1eqVGPhmuQ3vKYsEFP0b1/_ssgManifest.js rename to _next/static/WRf7XMZKNTU0DK8S4KMw_/_ssgManifest.js diff --git a/calendar.html b/calendar.html index f5bfb27..d7ca47c 100644 --- a/calendar.html +++ b/calendar.html @@ -1 +1 @@ -Michigan Data Science Team - Calendar

Calendar

Add to Google Calendar
\ No newline at end of file +Michigan Data Science Team - Calendar

Calendar

Add to Google Calendar
\ No newline at end of file diff --git a/contact.html b/contact.html index c2a4b78..2c108ce 100644 --- a/contact.html +++ b/contact.html @@ -1 +1 @@ -Michigan Data Science Team - Contact Us

Contact Us

Email:

mdst-coms@umich.edu

Instagram:

mdst_um

LinkedIn:

michigan-data-science-team

Students

Have questions about joining MDST? Curious about our projects? Or just want to keep up with our socials? Send us an email, check out our Instagram, and connect with us on LinkedIn!

U-M Departments

MDST would be delighted to collaborate with your department to promote your data science efforts to our students. Please contact us if you are interested in hosting a talk or sponsoring our club.

Industry Partners

Partner with MDST to find top data science talent and power your company's mission. We offer engagement and sponsorship opportunities to fit your needs. Please email us at mdst-coms@umich.edu to learn more.

\ No newline at end of file +Michigan Data Science Team - Contact Us

Contact Us

Email:

mdst-coms@umich.edu

Instagram:

mdst_um

LinkedIn:

michigan-data-science-team

Students

Have questions about joining MDST? Curious about our projects? Or just want to keep up with our socials? Send us an email, check out our Instagram, and connect with us on LinkedIn!

U-M Departments

MDST would be delighted to collaborate with your department to promote your data science efforts to our students. Please contact us if you are interested in hosting a talk or sponsoring our club.

Industry Partners

Partner with MDST to find top data science talent and power your company's mission. We offer engagement and sponsorship opportunities to fit your needs. Please email us at mdst-coms@umich.edu to learn more.

\ No newline at end of file diff --git a/index.html b/index.html index b8e5055..8c228a5 100644 --- a/index.html +++ b/index.html @@ -1 +1 @@ -MDST - Michigan Data Science Team

U-M's Premier Applied Data Science Club

MDST's semesterly projects teach U-M students how to use data science to solve problems, offering them the chance to learn key skills and work with emerging tech.

Join UsWork with Us
Dataframe of movie reviews and distribution

Recruiting Timeline Fall 2024

  1. Mass Meeting 1

    Join us to learn more about MDST and how to become a member.

  2. Mass Meeting 2

    Join us to learn more about MDST and how to become a member.

  3. Tutorial 1 @ TBD

    Introduction to the command line and Python.

  4. Project Exploration Fair @ CCCB 2460

    Meet with project leads and get to know the project offerings for this semester.

  5. Office Hours 1 @ TBD

    Troubleshooting session for setup, tutorials, and checkpoints.

  6. Office Hours 2 @ TBD

    Troubleshooting session for setup, tutorials, and checkpoints.

  7. Tutorial Submission Due

    Submit your completed tutorial materials for acceptance into the club.

  8. Project Work Session @ CCCB 3420 and CCCB 2460

    Start working on data science projects!

Michigan Data Science Team (MDST) is the largest data science club at the University of Michigan, dedicated to equipping U-M students with the skills needed for future data-driven careers.
We believe data science is for everyone. Each semester, MDST runs team-based projects, allowing you to learn and practice data science skills and their applications in a variety of domains.
We also host guest talks, workshops, and socials - all opportunities to meet and interact with the larger data science community at the U-M and beyond.

All U-M students are welcome to join MDST. Join now 

250+

community members

14+

project teams

10+

socials, workshops, tech talks, and more

Recent Projects

LLM Augmentation

Image Colorization

Real Vs Fake Face

MDST is proudly supported by our sponsors

Rocket CompaniesDiscoverWolverine Trading

Companies We Worked With:

Rocket CompaniesPwCBloombergDominosFigmaDiscoverCapital OneNissanRockstar Games
\ No newline at end of file +MDST - Michigan Data Science Team

U-M's Premier Applied Data Science Club

MDST's semesterly projects teach U-M students how to use data science to solve problems, offering them the chance to learn key skills and work with emerging tech.

Join UsWork with Us
Dataframe of movie reviews and distribution

Recruiting Timeline Fall 2024

  1. Mass Meeting 1 @ Michigan Union - Kuenzel Room

    Join us to learn more about MDST and how to become a member.

  2. Mass Meeting 2 @ Michigan League - Henderson Room

    Join us to learn more about MDST and how to become a member.

  3. Tutorial 1 @ TBD

    Introduction to the command line and Python.

  4. Project Exploration Fair @ CCCB 2460

    Meet with project leads and get to know the project offerings for this semester.

  5. Office Hours 1 @ TBD

    Troubleshooting session for setup, tutorials, and checkpoints.

  6. Office Hours 2 @ TBD

    Troubleshooting session for setup, tutorials, and checkpoints.

  7. Tutorial Submission Due

    Submit your completed tutorial materials for acceptance into the club.

  8. Project Work Session @ CCCB 3420 and CCCB 2460

    Start working on data science projects!

Michigan Data Science Team (MDST) is the largest data science club at the University of Michigan, dedicated to equipping U-M students with the skills needed for future data-driven careers.
We believe data science is for everyone. Each semester, MDST runs team-based projects, allowing you to learn and practice data science skills and their applications in a variety of domains.
We also host guest talks, workshops, and socials - all opportunities to meet and interact with the larger data science community at the U-M and beyond.

All U-M students are welcome to join MDST. Join now 

250+

community members

14+

project teams

10+

socials, workshops, tech talks, and more

Recent Projects

LLM Augmentation

Image Colorization

Real Vs Fake Face

MDST is proudly supported by our sponsors

Rocket CompaniesDiscoverWolverine Trading

Companies We Worked With:

Rocket CompaniesPwCBloombergDominosFigmaDiscoverCapital OneNissanRockstar Games
\ No newline at end of file diff --git a/join.html b/join.html index 74fc67e..89d1131 100644 --- a/join.html +++ b/join.html @@ -1,7 +1,7 @@ -Michigan Data Science Team - Join Today

Joining MDST

Instructions

Thank you for your interest in joining MDST! We're super excited to get you started on the process for joining the club.

Step 1: Sign up for our mailing list

Our mailing list is going to be the fastest way for us to reach you with the latest information on how to join, mass meetings, and other onboarding events. Fill out the interest form) linked below to be added to our mailing list.

Interest Form

Step 2 (Optional): Attend our Mass Meetings

+Michigan Data Science Team - Join Today

Joining MDST

Instructions

Thank you for your interest in joining MDST! We're super excited to get you started on the process for joining the club.

Step 1: Sign up for our mailing list

Our mailing list is going to be the fastest way for us to reach you with the latest information on how to join, mass meetings, and other onboarding events. Fill out the interest form) linked below to be added to our mailing list.

Interest Form

Step 2 (Optional): Attend our Mass Meetings

MDST is hosting two mass meetings this year. Join us on September 2nd, 2024 or September 3rd, 2024 from 6:30 PM to 7:30 PM. At these meetings, we will discuss details about our club, what we do, and how to join. You'll also have the opportunity to ask questions you may have about joining.

Take a look at our slides and recording from last semester's mass meeting:

Mass Meeting Slides

Mass Meeting Recording

Step 3: Complete Tutorial Checkpoints

New members are required to complete two tutorials giving an introduction to data science and programming in Python. The purpose of these tutorials is to make sure that all of our members, despite their background, are able to equally contribute to MDST projects.

The tutorials for Fall 2024 are now published in the tutorial GitHub repository. The repository contains all the materials and instructions you need to complete the tutorials, as well as information about the support we provide if you have any questions.
Note: Please direct all technical and logistical questions regarding tutorials to our forum for better visibility.

Step 4: Submit Tutorials

As a final step to join the club, you must submit your tutorials certifying that you've completed the fundamental requirements to join the club.

See our Tutorials Repo for information on completing and submiting the tutorials.

  • If your checkpoints are incomplete, then you will not be allowed to join MDST for that semester. In such circumstance, you may attempt the checkpoints again the next semester and resubmit.

The tutorial submission form will be due September 16th, 11:59 PM, after which we will no longer accept sign-ups to join MDST for the Fall 2024 semester.

Step 5: Attend the Project Exploration Fair

After joining the club, we will host a project exploration fair on September 8th, 2024 to share the projects which we will run this semester. You can speak with our project leads and learn first-hand about the type of work being done in each project, what the prerequistes are, and if the project is a good fit for you.

After attending, you will be given access to a form to specify your top 3 project choices, from which we will place you into your preferred project (subject to constraints and appropriate difficulty).

⚠️ You must attend the exploration fair to be placed on a project this semester. If you are unable to attend but would still like to participate in projects, you must email us in advance letting us know, and we will consider your request on a case-by-case basis. If emailing us, please include [EXPLORATION FAIR] in your email title. -

Recruiting Timeline Fall 2024

  1. Mass Meeting 1

    Join us to learn more about MDST and how to become a member.

  2. Mass Meeting 2

    Join us to learn more about MDST and how to become a member.

  3. Tutorial 1 @ TBD

    Introduction to the command line and Python.

  4. Project Exploration Fair @ CCCB 2460

    Meet with project leads and get to know the project offerings for this semester.

  5. Office Hours 1 @ TBD

    Troubleshooting session for setup, tutorials, and checkpoints.

  6. Office Hours 2 @ TBD

    Troubleshooting session for setup, tutorials, and checkpoints.

  7. Tutorial Submission Due

    Submit your completed tutorial materials for acceptance into the club.

  8. Project Work Session @ CCCB 3420 and CCCB 2460

    Start working on data science projects!

FAQ

Are there any requirements to join?

No! We welcome all University of Michigan students, regardless of academic level or major.

I have no data science experience. Can I join?

Yes! Everyone is welcome to join the team! In fact, most of our members have very little data science experience prior to joining. Our goal is to help you learn the data skills necessary to contribute to our projects and perform data science on your own. We do strongly recommend newcomers attend our introductory tutorials, as they will teach you the basics of the tools we use and are also a great opportunity to meet others in the same boat!

During onboarding, are the new member mass meeting/tutorial/office hours mandatory?

No, they are not.

When is the regular meeting time of MDST?

We meet on all Sundays (except for holidays) from 12-3 for a mandatory work session. You are permitted to miss a few of these but we unfortunately cannot accept you if you have a hard conflict.

We also meet on Thursdays from 6-7 for optional social and professional events such as guest speakers and networking sessions.

For a detailed schedule, please see our events calendar.

Will I be able to choose which project team I am on?

Yes! After you join the club, you will be asked to rank your top 5 projects after talking with project leaders. Historically, 90+% of people are placed into one of their top two preferences.

How much time commitment do you require?

Most MDST members spend 3 hours weekly for work sessions + 1 hour for socials on Thursday, totaling about 4 hours per week. This may vary based on the project and level of familiarity with data science.

Does MDST allow for remote participation?

MDST is primarily an in-person club, and all of our events and work sessions are held in-person on campus. We allow remote participation for our projects, but not for our other events. We recommend attending our meetings in-person whenever possible to maximize your experience with the club.

What languages do you use?

We primarily use Python for our projects. If you are an R user, we recommend checking out some helpful tutorials from DataCamp.

I am not a student at the University of Michigan. Can I join?

No. We only accept Umich students.

\ No newline at end of file +

Recruiting Timeline Fall 2024

  1. Mass Meeting 1 @ Michigan Union - Kuenzel Room

    Join us to learn more about MDST and how to become a member.

  2. Mass Meeting 2 @ Michigan League - Henderson Room

    Join us to learn more about MDST and how to become a member.

  3. Tutorial 1 @ TBD

    Introduction to the command line and Python.

  4. Project Exploration Fair @ CCCB 2460

    Meet with project leads and get to know the project offerings for this semester.

  5. Office Hours 1 @ TBD

    Troubleshooting session for setup, tutorials, and checkpoints.

  6. Office Hours 2 @ TBD

    Troubleshooting session for setup, tutorials, and checkpoints.

  7. Tutorial Submission Due

    Submit your completed tutorial materials for acceptance into the club.

  8. Project Work Session @ CCCB 3420 and CCCB 2460

    Start working on data science projects!

FAQ

Are there any requirements to join?

No! We welcome all University of Michigan students, regardless of academic level or major.

I have no data science experience. Can I join?

Yes! Everyone is welcome to join the team! In fact, most of our members have very little data science experience prior to joining. Our goal is to help you learn the data skills necessary to contribute to our projects and perform data science on your own. We do strongly recommend newcomers attend our introductory tutorials, as they will teach you the basics of the tools we use and are also a great opportunity to meet others in the same boat!

During onboarding, are the new member mass meeting/tutorial/office hours mandatory?

No, they are not.

When is the regular meeting time of MDST?

We meet on all Sundays (except for holidays) from 12-3 for a mandatory work session. You are permitted to miss a few of these but we unfortunately cannot accept you if you have a hard conflict.

We also meet on Thursdays from 6-7 for optional social and professional events such as guest speakers and networking sessions.

For a detailed schedule, please see our events calendar.

Will I be able to choose which project team I am on?

Yes! After you join the club, you will be asked to rank your top 5 projects after talking with project leaders. Historically, 90+% of people are placed into one of their top two preferences.

How much time commitment do you require?

Most MDST members spend 3 hours weekly for work sessions + 1 hour for socials on Thursday, totaling about 4 hours per week. This may vary based on the project and level of familiarity with data science.

Does MDST allow for remote participation?

MDST is primarily an in-person club, and all of our events and work sessions are held in-person on campus. We allow remote participation for our projects, but not for our other events. We recommend attending our meetings in-person whenever possible to maximize your experience with the club.

What languages do you use?

We primarily use Python for our projects. If you are an R user, we recommend checking out some helpful tutorials from DataCamp.

I am not a student at the University of Michigan. Can I join?

No. We only accept Umich students.

\ No newline at end of file diff --git a/links.html b/links.html index b67bebf..0830fb5 100644 --- a/links.html +++ b/links.html @@ -1 +1 @@ -Michigan Data Science Team - Links
MDST - Michigan Data Science Team Links Logo

MDST - Michigan Data Science Team Links

Copied!

Interest Form

Website

Linkedin

Instagram

Github

Email

Calendar

\ No newline at end of file +Michigan Data Science Team - Links
MDST - Michigan Data Science Team Links Logo

MDST - Michigan Data Science Team Links

Copied!

Interest Form

Website

Linkedin

Instagram

Github

Email

Calendar

\ No newline at end of file diff --git a/projects.html b/projects.html index b6b1add..0299a18 100644 --- a/projects.html +++ b/projects.html @@ -1 +1 @@ -Michigan Data Science Team - Projects

Our Projects

Current Projects

Economic Forecasting

Economic Forecasting

Leads:

Jordyn Ives

Jordyn Ives

Amelia Weyhing

Amelia Weyhing

Research Grant Analysis

Research Grant Analysis

Leads:

Erin Alcott

Erin Alcott

Linda Ru

Linda Ru

Car Brand Classification

Car Brand Classification

Leads:

Aditi Kashi

Aditi Kashi

Anish Kudupudi

Anish Kudupudi

SoccerNet

SoccerNet

Leads:

Antonio Capdevielle

Antonio Capdevielle

Shiva Chandran

Shiva Chandran

LLM Augmentation

LLM Augmentation

Leads:

Aditya Murali

Aditya Murali

Jordan Jones

Jordan Jones

Facial Recognition

Facial Recognition

Leads:

Andrew Black

Andrew Black

Judith Wu

Judith Wu

RL Neuroevolution

RL Neuroevolution

Leads:

Luke Yang

Luke Yang

Nathan Kawamoto

Nathan Kawamoto

Mining & Analyzing Tweets

Mining & Analyzing Tweets

Leads:

Nidhil Nayudu

Nidhil Nayudu

Tiernan Jesrani

Tiernan Jesrani

ViT From Scratch

ViT From Scratch

Leads:

Anthony Chen

Anthony Chen

Matthew Drutis

Matthew Drutis

Mini Copilot

Mini Copilot

Leads:

Amirali Danai

Amirali Danai

Nishant Dash

Nishant Dash

Poker Bot

Poker Bot

Leads:

Jason Yen

Jason Yen

Onat Ozer

Onat Ozer

Aditya Sinha

Aditya Sinha

Winter 2024

Codenames

Codenames

LLM Augmentation

LLM Augmentation

Poker Bot

Poker Bot

    RMP Sentiment Analysis

    RMP Sentiment Analysis

    Real vs Fake Faces

    Real vs Fake Faces

    Shazam Clone

    Shazam Clone

      Spotify Analysis

      Spotify Analysis

        Stock Market Analysis

        Stock Market Analysis

        TikTok Videos

        TikTok Videos

        Neural Nets from Scratch

        Neural Nets from Scratch

        Winter 2023

        Footwear Image Classification

        Footwear Image Classification

        Image Colorization

        Image Colorization

        Mini DALL-E

        Mini DALL-E

          MOOC Data Analysis

          MOOC Data Analysis

            Movie Quote Sentiment Analysis

            Movie Quote Sentiment Analysis

              Twitter Chatbot

              Twitter Chatbot

              Webscraping

              Webscraping

              Wildfire Spread Prediction

              Wildfire Spread Prediction

                Fall 2023

                Automated Poker Bot

                Automated Poker Bot

                  College Football Success Factors

                  College Football Success Factors

                  Cracking Wordle

                  Cracking Wordle

                    Network Intrusion Detection

                    Network Intrusion Detection

                      NHANES

                      NHANES

                        Real vs Fake Faces

                        Real vs Fake Faces

                        Reinforcement Learning

                        Reinforcement Learning

                        Sentence Completer

                        Sentence Completer

                          Webscraping

                          Webscraping

                          Fall 2022

                          College Football

                          College Football

                          Dogs vs Cats

                          Dogs vs Cats

                          Image Super Resolution

                          Image Super Resolution

                          Language Translation Application

                          Language Translation Application

                            Pokemon Data Science

                            Pokemon Data Science

                            SEC Insider Trading

                            SEC Insider Trading

                            Sports Data Science

                            Sports Data Science

                            TLDR Machine

                            TLDR Machine

                            Twitter Sentiment Analysis

                            Twitter Sentiment Analysis

                              \ No newline at end of file +Michigan Data Science Team - Projects

                              Our Projects

                              Current Projects

                              Economic Forecasting

                              Economic Forecasting

                              Leads:

                              Jordyn Ives

                              Jordyn Ives

                              Amelia Weyhing

                              Amelia Weyhing

                              Research Grant Analysis

                              Research Grant Analysis

                              Leads:

                              Erin Alcott

                              Erin Alcott

                              Linda Ru

                              Linda Ru

                              Car Brand Classification

                              Car Brand Classification

                              Leads:

                              Aditi Kashi

                              Aditi Kashi

                              Anish Kudupudi

                              Anish Kudupudi

                              SoccerNet

                              SoccerNet

                              Leads:

                              Antonio Capdevielle

                              Antonio Capdevielle

                              Shiva Chandran

                              Shiva Chandran

                              LLM Augmentation

                              LLM Augmentation

                              Leads:

                              Aditya Murali

                              Aditya Murali

                              Jordan Jones

                              Jordan Jones

                              Facial Recognition

                              Facial Recognition

                              Leads:

                              Andrew Black

                              Andrew Black

                              Judith Wu

                              Judith Wu

                              RL Neuroevolution

                              RL Neuroevolution

                              Leads:

                              Luke Yang

                              Luke Yang

                              Nathan Kawamoto

                              Nathan Kawamoto

                              Mining & Analyzing Tweets

                              Mining & Analyzing Tweets

                              Leads:

                              Nidhil Nayudu

                              Nidhil Nayudu

                              Tiernan Jesrani

                              Tiernan Jesrani

                              ViT From Scratch

                              ViT From Scratch

                              Leads:

                              Anthony Chen

                              Anthony Chen

                              Matthew Drutis

                              Matthew Drutis

                              Mini Copilot

                              Mini Copilot

                              Leads:

                              Amirali Danai

                              Amirali Danai

                              Nishant Dash

                              Nishant Dash

                              Poker Bot

                              Poker Bot

                              Leads:

                              Jason Yen

                              Jason Yen

                              Onat Ozer

                              Onat Ozer

                              Aditya Sinha

                              Aditya Sinha

                              Winter 2024

                              Codenames

                              Codenames

                              LLM Augmentation

                              LLM Augmentation

                              Poker Bot

                              Poker Bot

                                RMP Sentiment Analysis

                                RMP Sentiment Analysis

                                Real vs Fake Faces

                                Real vs Fake Faces

                                Shazam Clone

                                Shazam Clone

                                  Spotify Analysis

                                  Spotify Analysis

                                    Stock Market Analysis

                                    Stock Market Analysis

                                    TikTok Videos

                                    TikTok Videos

                                    Neural Nets from Scratch

                                    Neural Nets from Scratch

                                    Winter 2023

                                    Footwear Image Classification

                                    Footwear Image Classification

                                    Image Colorization

                                    Image Colorization

                                    Mini DALL-E

                                    Mini DALL-E

                                      MOOC Data Analysis

                                      MOOC Data Analysis

                                        Movie Quote Sentiment Analysis

                                        Movie Quote Sentiment Analysis

                                          Twitter Chatbot

                                          Twitter Chatbot

                                          Webscraping

                                          Webscraping

                                          Wildfire Spread Prediction

                                          Wildfire Spread Prediction

                                            Fall 2023

                                            Automated Poker Bot

                                            Automated Poker Bot

                                              College Football Success Factors

                                              College Football Success Factors

                                              Cracking Wordle

                                              Cracking Wordle

                                                Network Intrusion Detection

                                                Network Intrusion Detection

                                                  NHANES

                                                  NHANES

                                                    Real vs Fake Faces

                                                    Real vs Fake Faces

                                                    Reinforcement Learning

                                                    Reinforcement Learning

                                                    Sentence Completer

                                                    Sentence Completer

                                                      Webscraping

                                                      Webscraping

                                                      Fall 2022

                                                      College Football

                                                      College Football

                                                      Dogs vs Cats

                                                      Dogs vs Cats

                                                      Image Super Resolution

                                                      Image Super Resolution

                                                      Language Translation Application

                                                      Language Translation Application

                                                        Pokemon Data Science

                                                        Pokemon Data Science

                                                        SEC Insider Trading

                                                        SEC Insider Trading

                                                        Sports Data Science

                                                        Sports Data Science

                                                        TLDR Machine

                                                        TLDR Machine

                                                        Twitter Sentiment Analysis

                                                        Twitter Sentiment Analysis

                                                          \ No newline at end of file diff --git a/sponsors.html b/sponsors.html index df021c7..e9ba01d 100644 --- a/sponsors.html +++ b/sponsors.html @@ -1 +1 @@ -Michigan Data Science Team - Our Sponsors

                                                          MDST Sponsors

                                                          MDST sponsors directly support our data science education efforts and have direct access to our top data science talent. Reach out to mdst-coms@umich.edu to learn more about ways to partner with us.
                                                          Rocket CompaniesDiscoverWolverine Trading
                                                          Engineering Student GovernmentMichigan Institute for Data ScienceUniversity of Michigan School of Information
                                                          \ No newline at end of file +Michigan Data Science Team - Our Sponsors

                                                          MDST Sponsors

                                                          MDST sponsors directly support our data science education efforts and have direct access to our top data science talent. Reach out to mdst-coms@umich.edu to learn more about ways to partner with us.
                                                          Rocket CompaniesDiscoverWolverine Trading
                                                          Engineering Student GovernmentMichigan Institute for Data ScienceUniversity of Michigan School of Information
                                                          \ No newline at end of file diff --git a/team.html b/team.html index 3586dea..7f110a8 100644 --- a/team.html +++ b/team.html @@ -1 +1 @@ -Michigan Data Science Team - Our Team

                                                          Our Leadership Team

                                                          Executive Board (E-Board)

                                                          The leadership team determining the vision and direction of MDST.

                                                          aweyhing

                                                          Amelia Weyhing

                                                          President

                                                          weilez

                                                          Weile Zheng

                                                          VP of Education

                                                          bigpanda

                                                          Vincent Wu

                                                          VP of External Affairs

                                                          uiyer

                                                          Uma Iyer

                                                          VP of Finance

                                                          jrosevel

                                                          Jonathon Rosevelt

                                                          VP of Internal Affairs

                                                          amiralid

                                                          Amirali Danai

                                                          VP of Projects

                                                          Education Committee

                                                          Supervises all of MDST's onboarding and educational initiatives, supporting our members as they deepen their data science knowledge. Led by the VP of Education.

                                                          yueqiren

                                                          Yueqi Ren

                                                          Education Developer

                                                          dennis

                                                          Dennis Farmer

                                                          Education Developer

                                                          sriyan

                                                          Sriyan Madugula

                                                          GitHub Maintainer

                                                          kajalpat

                                                          Kajal Patel

                                                          Recruitment Lead

                                                          jeremoon

                                                          Jeremy Moon

                                                          Recruitment Lead

                                                          External Affairs Committee

                                                          MDST's interface with the wider data science community at U-M and beyond. Led by the VP of External Affairs.

                                                          igiallan

                                                          Isabella Giallanza

                                                          Website Lead

                                                          rathreya

                                                          Rohan Athreya

                                                          Outreach Lead

                                                          jeremoon

                                                          Jeremy Moon

                                                          Outreach Lead

                                                          jsochava

                                                          Julia Sochava

                                                          Outreach Lead

                                                          harishj

                                                          Harish Jaisankar

                                                          Web Developer

                                                          sriyan

                                                          Sriyan Madugula

                                                          Web Developer

                                                          neeyam

                                                          Neeyam Muddappa

                                                          Web Developer

                                                          Finance Committee

                                                          The financial backbone of MDST, planning and allocating our monetary resources. Led by the VP of Finance.

                                                          ellechen

                                                          Elle Chen

                                                          Budgeting Lead

                                                          niyatik

                                                          Niyati Kashyap

                                                          Budgeting Lead

                                                          Project Committee

                                                          Project advisors who help MDST operate our projects smoothly and at scale. Led by the VP of Projects.

                                                          aaron

                                                          Aaron Williams

                                                          Project Planner

                                                            anthoc

                                                            Anthony Chen

                                                            Project Planner

                                                            glenngr

                                                            Daniel Griggs

                                                            Project Planner

                                                            clindaru

                                                            Cai Yi Linda Ru

                                                            Project Planner

                                                            elaszwaj

                                                            Elizabeth Szwajnos

                                                            Project Planner

                                                              Social Committee

                                                              Creates opportunities for MDST members to network and have fun outside of our regular project work. Led by the VP of Internal Affairs.

                                                              ealcott

                                                              Erin Alcott

                                                              Social Planner

                                                              shivac

                                                              Shiva Chandran

                                                              Social Planner

                                                              taylornl

                                                              Taylor Lane

                                                              Social Planner

                                                              \ No newline at end of file +Michigan Data Science Team - Our Team

                                                              Our Leadership Team

                                                              Executive Board (E-Board)

                                                              The leadership team determining the vision and direction of MDST.

                                                              aweyhing

                                                              Amelia Weyhing

                                                              President

                                                              weilez

                                                              Weile Zheng

                                                              VP of Education

                                                              bigpanda

                                                              Vincent Wu

                                                              VP of External Affairs

                                                              uiyer

                                                              Uma Iyer

                                                              VP of Finance

                                                              jrosevel

                                                              Jonathon Rosevelt

                                                              VP of Internal Affairs

                                                              amiralid

                                                              Amirali Danai

                                                              VP of Projects

                                                              Education Committee

                                                              Supervises all of MDST's onboarding and educational initiatives, supporting our members as they deepen their data science knowledge. Led by the VP of Education.

                                                              yueqiren

                                                              Yueqi Ren

                                                              Education Developer

                                                              dennis

                                                              Dennis Farmer

                                                              Education Developer

                                                              sriyan

                                                              Sriyan Madugula

                                                              GitHub Maintainer

                                                              kajalpat

                                                              Kajal Patel

                                                              Recruitment Lead

                                                              jeremoon

                                                              Jeremy Moon

                                                              Recruitment Lead

                                                              External Affairs Committee

                                                              MDST's interface with the wider data science community at U-M and beyond. Led by the VP of External Affairs.

                                                              igiallan

                                                              Isabella Giallanza

                                                              Website Lead

                                                              rathreya

                                                              Rohan Athreya

                                                              Outreach Lead

                                                              jeremoon

                                                              Jeremy Moon

                                                              Outreach Lead

                                                              jsochava

                                                              Julia Sochava

                                                              Outreach Lead

                                                              harishj

                                                              Harish Jaisankar

                                                              Web Developer

                                                              sriyan

                                                              Sriyan Madugula

                                                              Web Developer

                                                              neeyam

                                                              Neeyam Muddappa

                                                              Web Developer

                                                              Finance Committee

                                                              The financial backbone of MDST, planning and allocating our monetary resources. Led by the VP of Finance.

                                                              ellechen

                                                              Elle Chen

                                                              Budgeting Lead

                                                              niyatik

                                                              Niyati Kashyap

                                                              Budgeting Lead

                                                              Project Committee

                                                              Project advisors who help MDST operate our projects smoothly and at scale. Led by the VP of Projects.

                                                              aaron

                                                              Aaron Williams

                                                              Project Planner

                                                                anthoc

                                                                Anthony Chen

                                                                Project Planner

                                                                glenngr

                                                                Daniel Griggs

                                                                Project Planner

                                                                clindaru

                                                                Cai Yi Linda Ru

                                                                Project Planner

                                                                elaszwaj

                                                                Elizabeth Szwajnos

                                                                Project Planner

                                                                  Social Committee

                                                                  Creates opportunities for MDST members to network and have fun outside of our regular project work. Led by the VP of Internal Affairs.

                                                                  ealcott

                                                                  Erin Alcott

                                                                  Social Planner

                                                                  shivac

                                                                  Shiva Chandran

                                                                  Social Planner

                                                                  taylornl

                                                                  Taylor Lane

                                                                  Social Planner

                                                                  \ No newline at end of file