DATA 101 Students Compete in 2nd Annual CofC Data Science and Analytics Competition

The department’s Data Science program, directed by Dr. Paul Anderson, held the second annual CofC Data Science and Analytics Competition last week.  

Teams consisting of Data 101 students competed to develop a solution for a real-world business question. This year’s question was focused on sports analytics, where the team tried to beat bookies and predict who would win a European soccer match.  Teams were prompted to put themselves in the perspective of an individual soccer club and work to extract and find patterns of interest.  Each team had ten minutes to present, followed by a Q&A session, to a panel of judges: Denise Gosnell from PokitDok, Julian Tisdale from BoomTown ROI, and Dr. Sebastian van Delden, department chair.  

Teams were judged based upon originality and innovation, overall quality of analytic presentation, methodology and approach, and business objective addressed by the analysis.  Awards were recognized for Technical Merit and Business Analytics Approach. The competition culminates in the judges naming the Overall Winner of the CofC Data Analytics Competitions.

Congratulations to all of our winners!

Thank you to our judges for your participation!

This year’s overall winners are Rachel McNeely, Allison Hansen, and Mackenzie Schaich.

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Technical Merit Award: Rachel McNeely, Allison Hansen, and Mackenzie Schaich.

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Business Analytics Merit Award: Alexandra Shope, Andrew Manley, and Ben Seifert

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Technical Merit Award: Chase Myers, Zack Cuomo, and Ian Schenkel

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Business Analytics Merit Award: Sarah Banford, Julia Piscioniere, and Walter Blair, Dana Robinson