From Classification to Regression: Online Marketing and Pricing Brick-and-Mortar Stores
Yee will discuss problems arising with online marketing, specifically in the travel industry, and in pricing retail goods sold at brick and mortar stores. Optimization and decisions in marketing and pricing involve core tools from statistics and algorithms from machine learning. Yee will compare and contrast applicable techniques in the context of problems arising from his previous work at Orbitz as well as at Sears. The goal of this talk is to contextualize the various techniques that are taught in the classroom with some real-world examples.
About the speaker
Yee is Chief Data Scientist and Divisional Vice President in the Pricing Group at Sears. His work influences pricing strategies for hundreds of millions of dollars’ worth of inventory in both Sears and Kmart stores and their websites. Prior, he was Chief Scientist and Distinguished Engineer at Orbitz, where he worked on recommendation systems, cross sell, fraud detection, etc. He received his Ph.D. and B.S. at Georgia Tech and the University of Chicago, respectively.