Learn how analytics and data science is helping to transform the sports industry. Meghan Chayka shares her experience in the field and more.
Sports is using analytics to aid in decision making, engage fans and grow the game. This talk will touch on using data science to drive innovation, whether in sports or another space. Building Stathletes, Meghan Chayka will provide industry examples of analytics in practice.
Join Prof. Dmitry Krass and Meghan Chayka on February 5, 2020 at 5:30 pm for the talk, followed by a networking reception at 6:30 pm. The event will be hosted in the Career Center, Room 287 at the Rotman School of Management (105 St. George Street, Toronto, ON).
Meghan Chayka is an entrepreneur and the co-founder of Stathletes, a sports analytics and insights business that provides industry leading data precision within the sport of hockey. Meghan has built a team in Niagara, Waterloo and Toronto working on creating the new era of sports technology. Having a wide variety of clients, Meghan was named in the 2018/2019 season Top Young Entrepreneur of the Year (Ontario Chamber of Commerce), Top 40 under 40 (The Athletic NHL), and on the Top 100 of Power & Influence in the Hockey News. At Rotman, she plays a key role in shaping the data science education and research through her work at the TD Management Data and Analytics Lab, including involvement in external, internal, and student-led events focused on data science.
Dmitry Krass is a Professor of Operations Management and Statistics and Academic Director, MMA Program at Rotman and Sydney C. Cooper Chair in Business and Technology. Obtaining his Ph.D. in Operations Research from Johns Hopkins University, he joined the School in 1989. He consults extensively in the areas of Predictive Analytics, Optimization of Marketing Communications and Operational Effectiveness. His research and teaching interests include facility location models, transportation, reliability and inventory location modeling and humanitarian logistics. He is also interested in environmental modeling, including regulation of pollution fines, marketing mix management and optimization, and predictive/ prescriptive analytics using “big data” and other tools in business decision making.
This event is hosted by TD Management Data and Analytics Lab in partnership with the MMA Program.
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