I’ll Have What She’s Having (and Other Models of Consumer Behavior) By Gabriela Hempfling Abstract: This talk will focus on predictive models in R and more broadly their use in industry. As our experience online gets more personalized, organizations are increasingly making assumptions about who we are and how to engage us. Meanwhile, consumers have limited access to the context that drives their online experience. Gabriela sets out to use that context to build some personal analytics and ask if we can use our understanding of data science to become more self aware. Bio: Gabriela Hempfling is the Manager of Strategy & Analytics of Chopt Creative Salad Co. where she uses data and analytics to drive innovation and decision making. Previously she worked in the financial services and consulting industries. Her interest in R began in a Data Mining course at Columbia University where she studied Economics and Math. She then used R at NERA Economic Consulting on many cases ranging from analyzing the whole loan pools underlying the Residential Mortgage Backed Securities in the Financial Crisis to evaluating cases of potential predatory lending. More recently, she worked at Two Sigma Investments reporting and analyzing financial returns where R proved a flexible tool to summarize and visualize time-series data. She is a member and organizer of R-Ladies New York City. Twitter: @ghempflingg Presented at the 2019 New York R Conference (May 11th, 2019)