Calendar
Contact Us
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.
Contact Us
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.
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.
Recruiting Timeline Fall 2024
Mass Meeting 1 @ Michigan Union - Kuenzel Room
Join us to learn more about MDST and how to become a member.
Mass Meeting 2 @ Michigan League - Henderson Room
Join us to learn more about MDST and how to become a member.
Live Tutorial @ 3437 MH
Introduction to the Command Line, Python, and Pandas.
Project Exploration Fair @ CCCB 2460
Meet with project leads and get to know the project offerings for this semester.
Office Hours 1 @ 2330 MH
Troubleshooting session for setup, tutorials, and checkpoints.
Office Hours 2 @ G168 AH
Troubleshooting session for setup, tutorials, and checkpoints.
Tutorial Submission Due
Submit your completed tutorial materials for acceptance into the club.
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
0+
community members
0+
project teams
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socials, workshops, tech talks, and more
Recent Projects
WN24 Project Expo
MDST is proudly supported by our sponsors
Companies We Worked With:
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.
Recruiting Timeline Fall 2024
Mass Meeting 1 @ Michigan Union - Kuenzel Room
Join us to learn more about MDST and how to become a member.
Mass Meeting 2 @ Michigan League - Henderson Room
Join us to learn more about MDST and how to become a member.
Live Tutorial @ 3437 MH
Introduction to the Command Line, Python, and Pandas.
Project Exploration Fair @ CCCB 2460
Meet with project leads and get to know the project offerings for this semester.
Office Hours 1 @ 2330 MH
Troubleshooting session for setup, tutorials, and checkpoints.
Office Hours 2 @ G168 AH
Troubleshooting session for setup, tutorials, and checkpoints.
Tutorial Submission Due
Submit your completed tutorial materials for acceptance into the club.
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
0+
community members
0+
project teams
0+
socials, workshops, tech talks, and more
Recent Projects
WN24 Project Expo
MDST is proudly supported by our sponsors
Companies We Worked With:
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.
Step 2 (Optional): Attend our Mass Meetings
+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.
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. 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:
Step 3: Complete Tutorial Checkpoints
New members are required to complete two checkpoints 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 checkpoints 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 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
Mass Meeting 1 @ Michigan Union - Kuenzel Room
Join us to learn more about MDST and how to become a member.
Mass Meeting 2 @ Michigan League - Henderson Room
Join us to learn more about MDST and how to become a member.
Live Tutorial @ 3437 MH
Introduction to the Command Line, Python, and Pandas.
Project Exploration Fair @ CCCB 2460
Meet with project leads and get to know the project offerings for this semester.
Office Hours 1 @ 2330 MH
Troubleshooting session for setup, tutorials, and checkpoints.
Office Hours 2 @ G168 AH
Troubleshooting session for setup, tutorials, and checkpoints.
Tutorial Submission Due
Submit your completed tutorial materials for acceptance into the club.
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/live 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.
Recruiting Timeline Fall 2024
Mass Meeting 1 @ Michigan Union - Kuenzel Room
Join us to learn more about MDST and how to become a member.
Mass Meeting 2 @ Michigan League - Henderson Room
Join us to learn more about MDST and how to become a member.
Live Tutorial @ 3437 MH
Introduction to the Command Line, Python, and Pandas.
Project Exploration Fair @ CCCB 2460
Meet with project leads and get to know the project offerings for this semester.
Office Hours 1 @ 2330 MH
Troubleshooting session for setup, tutorials, and checkpoints.
Office Hours 2 @ G168 AH
Troubleshooting session for setup, tutorials, and checkpoints.
Tutorial Submission Due
Submit your completed tutorial materials for acceptance into the club.
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/live 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.
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diff --git a/projects.html b/projects.html
index ddff8c8..3180f43 100644
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-
Our Projects
Current Projects
You can find specific details about the projects on our Notion Page
Spotify Data Analysis
Lead:
Jenny Lee
Recidivism Analysis
Leads:
Lucas Tam
Angela Li
Economic Forecasting
Leads:
Jordyn Ives
Amelia Weyhing
Research Grant Analysis
Leads:
Erin Alcott
Linda Ru
Car Brand Classification
Leads:
Aditi Kashi
Anish Kudupudi
SoccerNet
Leads:
Antonio Capdevielle
Shiva Chandran
LLM Augmentation
Leads:
Aditya Murali
Jordan Jones
Facial Recognition
Leads:
Andrew Black
Judith Wu
RL Neuroevolution
Leads:
Luke Yang
Nathan Kawamoto
Mining & Analyzing Reddit
Leads:
Nidhil Nayudu
Tiernan Jesrani
ViT From Scratch
Leads:
Anthony Chen
Matthew Drutis
Mini Copilot
Leads:
Amirali Danai
Nishant Dash
Poker Bot
Leads:
Jason Yen
Onat Ozer
Aditya Sinha
Winter 2024
Winter 2023
Fall 2023
Our Projects
Current Projects
You can find specific details about the projects on our Notion Page
Spotify Data Analysis
Lead:
Jenny Lee
Recidivism Analysis
Leads:
Lucas Tam
Angela Li
Economic Forecasting
Leads:
Jordyn Ives
Amelia Weyhing
Research Grant Analysis
Leads:
Erin Alcott
Linda Ru
Car Brand Classification
Leads:
Aditi Kashi
Anish Kudupudi
SoccerNet
Leads:
Antonio Capdevielle
Shiva Chandran
LLM Augmentation
Leads:
Aditya Murali
Jordan Jones
Facial Recognition
Leads:
Andrew Black
Judith Wu
RL Neuroevolution
Leads:
Luke Yang
Nathan Kawamoto
Mining & Analyzing Reddit
Leads:
Nidhil Nayudu
Tiernan Jesrani
ViT From Scratch
Leads:
Anthony Chen
Matthew Drutis
Mini Copilot
Leads:
Amirali Danai
Nishant Dash
Poker Bot
Leads:
Jason Yen
Onat Ozer
Aditya Sinha
Winter 2024
Winter 2023
Fall 2023
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.
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.
Our Leadership Team
Executive Board (E-Board)
The leadership team determining the vision and direction of MDST.
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.
External Affairs Committee
MDST's interface with the wider data science community at U-M and beyond. Led by the VP of External Affairs.
Finance Committee
The financial backbone of MDST, planning and allocating our monetary resources. Led by the VP of Finance.
Project Committee
Project advisors who help MDST operate our projects smoothly and at scale. Led by the VP of Projects.
Our Leadership Team
Executive Board (E-Board)
The leadership team determining the vision and direction of MDST.
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.
External Affairs Committee
MDST's interface with the wider data science community at U-M and beyond. Led by the VP of External Affairs.
Finance Committee
The financial backbone of MDST, planning and allocating our monetary resources. Led by the VP of Finance.
Project Committee
Project advisors who help MDST operate our projects smoothly and at scale. Led by the VP of Projects.