The Computational Modeling and Data Analytics Club recently wrapped up its 2022 Fall Data Competition, with the winners announced on Saturday, Dec. 3. 

Open to undergraduate students of any major at Virginia Tech, the Fall Data Competition enabled teams of three to five students to work on an assigned dataset or topic. To encourage less-experienced students to participate in the competition, both Beginner and Advanced tracks were available.

The working period for the competition ran from Nov. 18 through Dec. 2, followed by judging on Dec. 3, as teams gave presentations during a poster board session.


2022 CMDA Fall Data Competition winners

Beginner Track

First place: Team 10 (Travis Chan and Ashley Covitz)

Second place: Team Binary (Mohamed Abu-Ajaj, Jonathan Carr, Gabriel Dell, Eric Kim, and Surya Veluguri)

Advanced Track

First place: Team Ctrl Alt Compete (Eshan Kaul, Anurag Kulkarni, Ramya Kurkal, Rohith Mahesh, and Arya Shah)

Second place: Team 409 (Joaquin Baquerizo, Kyle Hoffman, Antonio Pinto, Samuel Taliaferro)

Third place: Team 1 (Sabrina Hart, Nivin John, Giang Nguyen, Connor Pepin, and Leo Silpacharn)