From 3cd2e3de81a626dfc71d9d4d41108f62c4436c40 Mon Sep 17 00:00:00 2001 From: skunichetty <71106771+skunichetty@users.noreply.github.com> Date: Sat, 13 Jan 2024 18:58:39 +0000 Subject: [PATCH] =?UTF-8?q?Deploying=20to=20gh-pages=20from=20@=20Michigan?= =?UTF-8?q?DataScienceTeam/website-redesign@4547bbec84f559ed71b30c4e243a8c?= =?UTF-8?q?3e9e27d71a=20=F0=9F=9A=80?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- 404.html | 2 +- _next/data/1KwqEKuu36MOnnXE8F9-y/index.json | 1 - _next/data/1KwqEKuu36MOnnXE8F9-y/join.json | 1 - .../contact.json | 0 _next/data/Wq1IlGLwZOJEPw9cbr-Dq/index.json | 1 + _next/data/Wq1IlGLwZOJEPw9cbr-Dq/join.json | 1 + .../links.json | 0 .../projects.json | 0 .../resources.json | 0 .../sponsors.json | 0 .../{1KwqEKuu36MOnnXE8F9-y => Wq1IlGLwZOJEPw9cbr-Dq}/team.json | 0 .../_buildManifest.js | 0 .../_ssgManifest.js | 0 calendar.html | 2 +- contact.html | 2 +- index.html | 2 +- join.html | 3 ++- links.html | 2 +- projects.html | 2 +- resources.html | 2 +- sponsors.html | 2 +- team.html | 2 +- 22 files changed, 13 insertions(+), 12 deletions(-) delete mode 100644 _next/data/1KwqEKuu36MOnnXE8F9-y/index.json delete mode 100644 _next/data/1KwqEKuu36MOnnXE8F9-y/join.json rename _next/data/{1KwqEKuu36MOnnXE8F9-y => Wq1IlGLwZOJEPw9cbr-Dq}/contact.json (100%) create mode 100644 _next/data/Wq1IlGLwZOJEPw9cbr-Dq/index.json create mode 100644 _next/data/Wq1IlGLwZOJEPw9cbr-Dq/join.json rename _next/data/{1KwqEKuu36MOnnXE8F9-y => Wq1IlGLwZOJEPw9cbr-Dq}/links.json (100%) rename _next/data/{1KwqEKuu36MOnnXE8F9-y => Wq1IlGLwZOJEPw9cbr-Dq}/projects.json (100%) rename _next/data/{1KwqEKuu36MOnnXE8F9-y => Wq1IlGLwZOJEPw9cbr-Dq}/resources.json (100%) rename _next/data/{1KwqEKuu36MOnnXE8F9-y => Wq1IlGLwZOJEPw9cbr-Dq}/sponsors.json (100%) rename _next/data/{1KwqEKuu36MOnnXE8F9-y => Wq1IlGLwZOJEPw9cbr-Dq}/team.json (100%) rename _next/static/{1KwqEKuu36MOnnXE8F9-y => Wq1IlGLwZOJEPw9cbr-Dq}/_buildManifest.js (100%) rename _next/static/{1KwqEKuu36MOnnXE8F9-y => Wq1IlGLwZOJEPw9cbr-Dq}/_ssgManifest.js (100%) diff --git a/404.html b/404.html index bebe85a..cec2940 100644 --- a/404.html +++ b/404.html @@ -1 +1 @@ -404: This page could not be found

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\ No newline at end of file diff --git a/_next/data/1KwqEKuu36MOnnXE8F9-y/index.json b/_next/data/1KwqEKuu36MOnnXE8F9-y/index.json deleted file mode 100644 index ef5034b..0000000 --- a/_next/data/1KwqEKuu36MOnnXE8F9-y/index.json +++ /dev/null @@ -1 +0,0 @@ -{"pageProps":{"sponsors":[{"type":"large","sponsors":[{"name":"Rocket Companies","link":"https://www.myrocketcareer.com/","image":"rocket.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"}]}],"projects":[{"name":"Image Colorization","image":"image_colorization.png","link":"https://docs.google.com/document/d/19CekIh2sZGKKMoRA5VNFEcjNGHc9GEYt/"},{"name":"Webscraping","image":"webscraping.png","link":"https://docs.google.com/document/d/1uVD5nvpA0lg9E8tE9khuEQDlwCwHKgrHGqtvzKe2JoA/"},{"name":"Footwear Classification","image":"footwear_classification.png","link":"https://docs.google.com/presentation/d/1Bb7nCc4o3fmV4OkR-NOeAwzl6i1E_BA_V937Gjoq1wc/"}],"timeline":{"show_on_homepage":false,"title":"Recruiting Timeline Winter 2024","events":[{"title":"Office Hours 1 @ UGLI Third Floor","time":"January 16th 7:00pm - 9:00pm","description":"Troubleshooting session for setup, tutorials, and checkpoints."},{"title":"Mass Meeting @ TBD","time":"January 18th TBA","description":"Join us to hear more about MDST and how to become a member. Prospective members do not need to attend both mass meetings."},{"title":"Tutorial 1 @ Fishbowl Classroom","time":"January 21st 12pm - 3pm","description":"Introduction to the command line and Python."},{"title":"Office Hours 2 @ UGLI Third Floor","time":"January 23rd 7:00pm - 9:00pm","description":"Troubleshooting session for setup, tutorials, and checkpoints."},{"title":"Tutorial 2 @ Fishbowl Classroom","time":"January 28th 12pm - 3pm","description":"Build basic data science knowledge for project participation."},{"title":"Office Hours 3 @ UGLI Third Floor","time":"January 30th 7:00pm - 9:00pm","description":"Troubleshooting session for setup, tutorials, and checkpoints."},{"title":"Tutorial Submission Due","time":"Febiary 1st 11:59pm","description":"Submit your completed tutorial materials for acceptance into the club."},{"title":"Project Selection","time":"Febuary 4th TBD","description":"Meet with project leads and get to know the project offering."},{"title":"Project Signup Due","time":"Febuary 8th 11:59pm","description":"Indicate your project preferences."},{"title":"First Project Work Session @ TBD","time":"Febuary 11th 12:15pm - 3pm","description":"Start working on your projects!"}]}},"__N_SSG":true} \ No newline at end of file diff --git a/_next/data/1KwqEKuu36MOnnXE8F9-y/join.json b/_next/data/1KwqEKuu36MOnnXE8F9-y/join.json deleted file mode 100644 index 8f452eb..0000000 --- a/_next/data/1KwqEKuu36MOnnXE8F9-y/join.json +++ /dev/null @@ -1 +0,0 @@ -{"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\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/pcpfjMwrXobyvn9N9) linked below to be added to our mailing list.\n\n

Interest Form

\n\nPlease visit our [tutorial repository](https://github.com/MichiganDataScienceTeam/2023-Tutorials) and read through the entirety of the README to begin your process of joining MDST.\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### 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":false,"title":"Recruiting Timeline Winter 2024","events":[{"title":"Office Hours 1 @ UGLI Third Floor","time":"January 16th 7:00pm - 9:00pm","description":"Troubleshooting session for setup, tutorials, and checkpoints."},{"title":"Mass Meeting @ TBD","time":"January 18th TBA","description":"Join us to hear more about MDST and how to become a member. 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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/pcpfjMwrXobyvn9N9) linked below to be added to our mailing list.\n\n

Interest Form

\n\n
\n\n### Step 2 (Optional): Attend our Mass Meetings\n\nMDST will host **one mass meeting** on January 18th, 2024 from 6:00-7:00pm at CCCB 0420 (tentatively). 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- Mass Meetings are for informational purposes. **We do not take attendance, and they are not part of the application process.**\n- We will record our mass meeting and post the recording and presentation to this page after completion\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 Winter 2024 are now published in the tutorial GitHub [repository](https://github.com/MichiganDataScienceTeam/2023-Tutorials). The repository contains all the materials and instructions you need to complete the tuturials, as well as information about the support we provide if you have any questions.\n
\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\nCloser to the submission date, we will post a Google Form where you can submit a link to the GitHub repository containing all the completed checkpoints plus the optional challenges (if attempted). See our [Tutorials Repo](https://github.com/MichiganDataScienceTeam/2023-Tutorials) for information on completing the tutorials. If you've never worked with Git and GitHub before, check out our [Git Version Control Guide](https://docs.google.com/document/d/1pq42R2xr_yoyhyzWE0ugReHgEKgwLdjrJR4mT3_CQEo/edit?usp=sharing).\n\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- Our education committee will evaluate your submission for your strength with Python programming and data science library usage. New members with greater skills in these areas are more likely to be placed into tougher projects.\n- Most people tend to get their top project choices, so don't worry!\n\nThe project signup form will be due **February 1st, 11:59 PM**, after which we will no longer accept sign-ups to join MDST for the Winter 2024 semester. \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### 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. 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Calendar

\ No newline at end of file +

Calendar

\ No newline at end of file diff --git a/contact.html b/contact.html index 97de57c..b20e2d3 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 5b9a225..5829bc7 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
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 

200+

community members

14+

project teams

10+

socials, workshops, tech talks, and more

Recent Projects

Image Colorization

Webscraping

Footwear Classification

MDST is proudly supported by our sponsors

Rocket CompaniesWolverine Trading
\ 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 Winter 2024

  1. Office Hours 1 @ UGLI Third Floor

    Troubleshooting session for setup, tutorials, and checkpoints.

  2. Mass Meeting @ CCCB 0420 (Tentatively)

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

  3. Tutorial 1 @ Fishbowl Classroom

    Introduction to the command line and Python.

  4. Office Hours 2 @ UGLI Third Floor

    Troubleshooting session for setup, tutorials, and checkpoints.

  5. Tutorial 2 @ Fishbowl Classroom

    Build basic data science knowledge for project participation.

  6. Office Hours 3 @ UGLI Third Floor

    Troubleshooting session for setup, tutorials, and checkpoints.

  7. Tutorial Submission Due

    Submit your completed tutorial materials for acceptance into the club.

  8. Project Selection

    Meet with project leads and get to know the project offering.

  9. Project Signup Due

    Indicate your project preferences.

  10. First Project Work Session @ TBD

    Start working on your 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 

200+

community members

14+

project teams

10+

socials, workshops, tech talks, and more

Recent Projects

Image Colorization

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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.

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

Please visit our tutorial repository and read through the entirety of the README to begin your process of joining MDST.

Recruiting Timeline Winter 2024

  1. Office Hours 1 @ UGLI Third Floor

    Troubleshooting session for setup, tutorials, and checkpoints.

  2. Mass Meeting @ TBD

    Join us to hear more about MDST and how to become a member. Prospective members do not need to attend both mass meetings.

  3. Tutorial 1 @ Fishbowl Classroom

    Introduction to the command line and Python.

  4. Office Hours 2 @ UGLI Third Floor

    Troubleshooting session for setup, tutorials, and checkpoints.

  5. Tutorial 2 @ Fishbowl Classroom

    Build basic data science knowledge for project participation.

  6. Office Hours 3 @ UGLI Third Floor

    Troubleshooting session for setup, tutorials, and checkpoints.

  7. Tutorial Submission Due

    Submit your completed tutorial materials for acceptance into the club.

  8. Project Selection

    Meet with project leads and get to know the project offering.

  9. Project Signup Due

    Indicate your project preferences.

  10. First Project Work Session @ TBD

    Start working on your 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!

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.

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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 will host one mass meeting on January 18th, 2024 from 6:00-7:00pm at CCCB 0420 (tentatively). 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.

  • Mass Meetings are for informational purposes. We do not take attendance, and they are not part of the application process.
  • We will record our mass meeting and post the recording and presentation to this page after completion

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 Winter 2024 are now published in the tutorial GitHub repository. The repository contains all the materials and instructions you need to complete the tuturials, as well as information about the support we provide if you have any questions. +

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.

Closer to the submission date, we will post a Google Form where you can submit a link to the GitHub repository containing all the completed checkpoints plus the optional challenges (if attempted). See our Tutorials Repo for information on completing the tutorials. If you've never worked with Git and GitHub before, check out our Git Version Control Guide.

  • 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.
  • Our education committee will evaluate your submission for your strength with Python programming and data science library usage. New members with greater skills in these areas are more likely to be placed into tougher projects.
  • Most people tend to get their top project choices, so don't worry!

The project signup form will be due February 1st, 11:59 PM, after which we will no longer accept sign-ups to join MDST for the Winter 2024 semester.

Recruiting Timeline Winter 2024

  1. Office Hours 1 @ UGLI Third Floor

    Troubleshooting session for setup, tutorials, and checkpoints.

  2. Mass Meeting @ CCCB 0420 (Tentatively)

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

  3. Tutorial 1 @ Fishbowl Classroom

    Introduction to the command line and Python.

  4. Office Hours 2 @ UGLI Third Floor

    Troubleshooting session for setup, tutorials, and checkpoints.

  5. Tutorial 2 @ Fishbowl Classroom

    Build basic data science knowledge for project participation.

  6. Office Hours 3 @ UGLI Third Floor

    Troubleshooting session for setup, tutorials, and checkpoints.

  7. Tutorial Submission Due

    Submit your completed tutorial materials for acceptance into the club.

  8. Project Selection

    Meet with project leads and get to know the project offering.

  9. Project Signup Due

    Indicate your project preferences.

  10. First Project Work Session @ TBD

    Start working on your 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!

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.

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MDST - Michigan Data Science Team Links Logo

MDST - Michigan Data Science Team Links

Copied!

Interest Form

Website

Linkedin

Instagram

Github

Email

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MDST - Michigan Data Science Team Links Logo

MDST - Michigan Data Science Team Links

Copied!

Interest Form

Website

Linkedin

Instagram

Github

Email

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Our Past Projects

Winter 2023

Fall 2022

  • College Football
  • Dogs vs Cats
  • Image Super Resolution
  • Language Translation Application
  • Pokemon Data Science
  • SEC Insider Information
  • Sports Data Science
  • TLDR Machine
  • Twitter Sentiment Analysis
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Our Past Projects

Winter 2023

Fall 2022

  • College Football
  • Dogs vs Cats
  • Image Super Resolution
  • Language Translation Application
  • Pokemon Data Science
  • SEC Insider Information
  • Sports Data Science
  • TLDR Machine
  • Twitter Sentiment Analysis
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Some Helpful Resources

Datacamp

MDST provides interested Michigan students with free access to Datacamp, an online resource for learning data science skills. To gain access, complete the following form.

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Some Helpful Resources

Datacamp

MDST provides interested Michigan students with free access to Datacamp, an online resource for learning data science skills. To gain access, complete the following form.

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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 CompaniesWolverine Trading
Engineering Student GovernmentMichigan Institute for Data Science
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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 CompaniesWolverine Trading
Engineering Student GovernmentMichigan Institute for Data Science
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Our Leadership Team

Executive Board (E-Board)

The leadership team determining the vision and direction of MDST.

skunich

Sachchit Kunichetty

President

casperg

Casper Guo

VP of Education

andreye

Andrew Ye

VP of External Affairs

mandali

Amanda Li

VP of Finance

tomsherm

Tom Sherman

VP of Internal Affairs

hyshu

Hannah Shu

VP of Projects

Project Committee

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

grubbse

Elijah Grubbs

Project Committee Member

jasonyen

Jason Yen

Project Committee Member

mipeng

Michael Peng

Project Committee Member

External Affairs Committee

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

grubbse

Elijah Grubbs

External Affairs Committee Member

haoransl

Sara Li

External Affairs Committee Member

amoghmm

Amogh Madireddi

External Affairs Committee Member

Education Committee

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

gosreya

Sreya Gogineni

Education Committee Member

kevindw

Kevin Wang

Education Committee Member

temp

Matthew Pacas-McCarthy

Education Committee Member

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.

jmshaver

Jay Shaver

The man

aweyhing

Amelia Weyhing

Social Committee Member

bneilb

Benjamin Brown

Social Committee Member

\ 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.

skunich

Sachchit Kunichetty

President

casperg

Casper Guo

VP of Education

andreye

Andrew Ye

VP of External Affairs

mandali

Amanda Li

VP of Finance

tomsherm

Tom Sherman

VP of Internal Affairs

hyshu

Hannah Shu

VP of Projects

Project Committee

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

grubbse

Elijah Grubbs

Project Committee Member

jasonyen

Jason Yen

Project Committee Member

mipeng

Michael Peng

Project Committee Member

External Affairs Committee

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

grubbse

Elijah Grubbs

External Affairs Committee Member

haoransl

Sara Li

External Affairs Committee Member

amoghmm

Amogh Madireddi

External Affairs Committee Member

Education Committee

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

gosreya

Sreya Gogineni

Education Committee Member

kevindw

Kevin Wang

Education Committee Member

temp

Matthew Pacas-McCarthy

Education Committee Member

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.

jmshaver

Jay Shaver

The man

aweyhing

Amelia Weyhing

Social Committee Member

bneilb

Benjamin Brown

Social Committee Member

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