Undergraduate

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CONTACT
Location: Unity Hall
Office Location: 3rd Floor, Room 366
Phone: 508-831-6220

Data Science Club

Get involved!

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DS Club

 

The Data Science Club at Worcester Polytechnic Institute (WPI) is a vibrant community of undergraduate students interested in data science. Whether you’re passionate about math, statistics, business, or computer science, this club welcomes WPI students at all experience levels who want to explore the fascinating world of data science and develop professional and academic skills!

So, whether you’re curious about predictive modeling, big data analysis, or machine learning, the Data Science Club is a fantastic place to explore and learn!

Here are some key points about the Data Science Club:

 

 

Mission and Goals:

  • The club aims to teach data science skills and foster a supportive community.
  • It provides opportunities to learn about the various applications of data science and develop innovative solutions to real-world problems.
  • Membership is open to all WPI students, regardless of their major.
  • All experience levels are welcome, so whether you’re a beginner or an expert, you’ll find a place here.

Events and Activities:

  • The club hosts a variety of events, including:
  • Industry Talks: Hear from representatives about how data science is utilized in a variety of companies including Travelers, Epsilon, and Dimensional Insight.
  • Skills Workshops: Dive into some of the main skills necessary to pursue data science including Python, R, and SQL.
  • Club Collaborations: Join students from the Investment Association, the Bioinformatics and Computational Biology Club, and other WPI organizations to learn about the intersection of data science and other fields.
  • Resume building workshops: Enhance your resume and prepare for future career opportunities.
  • Career fair preparation sessions: Get ready to impress potential employers. 
  • Meetings are held bi-weekly on Wednesday nights.

Get Involved:

If you’re interested in joining the Data Science Club or want more information, feel free to join on MyWPI or email gr-DSclubExec@wpi.edu


 

Student Spotlight

Data Science Undergraduates!

DS_Dante Amicarella

Dante Amicarella

I am studying Data Science at WPI. Coming into freshman year, my initial focus was on pursuing Mechanical Engineering. However, it wasn't until my best friend, Matt, introduced me to the captivating realm of data science that I swiftly made the right decision to change majors. The Data Science curriculum has given me the opportunity to collaborate with intellectually fascinating peers. In my most recent project, a one-term FinTech endeavor with an alternative investment company based in New York City, I teamed up with students majoring in Computer Science, Mathematics, and Data Science. Our goal was to develop an interpretable investment document appraisal model. In the project, my team and I implemented text and image parsers for extracting financial metrics from deal documents and running a GPT-4 model for categorizing these documents based on their “investability’. The Data Science community is close-knit. I connected with fellow students in classes, and many of these connections have blossomed into enduring friendships and in my case my closest companion. My best advice is to get out there as much as possible. Join as many clubs as possible and organizations that interest you because having a large network has always been valuable to me, both in and outside the classroom.          

Preview NFL MQP
Data Science MQP Team WOWs the NFL

Campus Partnerships Lead to WPI’s First Collaboration with the NFL

In a first-ever collaboration between WPI and the National Football League, undergraduate students Matthew Dzwil ’23, Mia Hopman ’23, and Katie Houskeeper ’23 recently completed a Major Qualifying Project (MQP) that analyzed whether data collected during the league’s main scouting event could accurately predict how wide receivers performed during real games. The students worked with the NFL central office in New York City to determine whether player-movement metrics from the 2022 NFL Scouting Combine could accurately predict in-game performance. 

"Not only did we work on manipulating data to provide valuable insights on NFL player combine movements and how those movements compared to in-game movements, but we also provided recommendations to the NFL on how data collection could be improved in future years."

-Katie Housekeeper '23

Hear From Our Undergraduates!

MQP 2024

DraftKings Fantasy Sports Data Analytics

Student Team: Abigail Albuquerque, Vagmi Bhagavathula, Kristin Lavoie, Owen Radcliffe, Eric Schuman

Faculty Advisors: Randy Paffenroth and Donald Brown