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The four-member team won the Predicting Products for Efficient Shelf Space Usage division. Brian Burns, Amit Ranshinge, Nityansh Seth, and Francesco Del Zompo represented Georgia Institute of Technology.
The four-member team won the Predicting Products for Efficient Shelf Space Usage division. Brian Burns, Amit Ranshinge, Nityansh Seth, and Francesco Del Zompo represented Georgia Institute of Technology.
Team O-Mazing won second place at Georgia Tech’s recent Master Modeler Competition.
Team O-Mazing won second place at Georgia Tech’s recent Master Modeler Competition.

Georgia Tech Students win Krannert-Walmart Data Dive

Georgia Institute of Technology students took first place at the Krannert-Walmart Data Dive held at the Purdue University campus in West Lafayette, Indiana on April 2-3. Team O-Mazing won the predictive analytics division of the competition with their creative solutions for efficient shelf space usage ($5,000 and internship offers for winning team).

The Tech team was comprised of students from the interdisciplinary Master of Science - Analytics degree program, including Brian Burns, Nityansh Seth, Amit Ranshinge, and Francesco Del Zompo. They were coached by Prof. Jeffrey Hu, Professor of IT Management from Scheller College of Business and supported by Dr. Beverly Wright, Executive Director of the Business Analytics Center.

Brian Burns said his team found the large amount of information allowed them to drill deeper into the company’s issues. “I’ve had experience with data-driven decisions prior to this competition, but what Walmart’s data set highlighted is that strategic decisions can become more granular as the volume and variety of information becomes larger,” Burns said.

Each team was asked to use Walmart trend data to solve a real-world business problem focused on helping the company better serve its customers. The 17 teams represented 11 of the nation’s top analytics programs including Indiana, Michigan State, Northwestern, and Purdue, among others. Graduate and undergraduate students participating in the 24-hour competition used Walmart data to develop solutions in two areas - customer segmentation and providing products for efficient shelf space usage. Data Dive judges included top Walmart executives.

Team Data Dynasty also represented Georgia Tech in the customer segmentation category. Data Dynasty were recent first place award recipients of the Scheller College Business Analytics Center’s Master Modeler Competition.



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Susan Ambrosetti
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