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Data Science Modeling for the Real World: UC Davis MSBA Students Get a Taste of Retail

By March 7, 2019January 27th, 2021No Comments
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Retail data science requires a high level of expertise and collaboration on complex projects. In the first round of a year-long project with Engage3, six students from the UC Davis Graduate School of Management experienced a taste of what retail technology has to offer.

The Master of Science in Business Analytics program gives students the opportunity to work with a company on a long-term project. One description drew the interest of Abhinav Chatterji and his five teammates, intrigued by Engage3’s mission statement for the partnership: to help revolutionize the $22 trillion retail sales industry.

After the initial online meetings, the team prepared to work with Engage3’s data scientists on developing their 12 month project in the downtown Davis headquarters. From there, Chatterji describes, “We went on a four-day, rigorous sprint.”

The team met the employees at the Davis office, including CEO Ken Ouimet and other executives. Though surprised at first, the group quickly adapted to the company culture and felt welcomed. They then started their project with data scientist Sahar Pirmordian, working to build the foundation for their year-long partnership.

In the four day period, the team tinkered with thousands of lines of code to accomplish their pilot study. With the help of the Engage3 data scientists, the MSBA students funneled large amounts of data through their models and presented to the results to the Davis office.

The six students passed their first checkpoint in a long but rewarding project, and got a sense of the scale of the retail industry and its data potential. “We felt transformed into consultant or employees capable of delivering on deadline, under pressure,” writes Chatterji.

To read the full post on the UC Davis graduate school website, you can click here. For more information on how artificial intelligence is changing retail technology, you can also request a copy of our White Paper here.

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