Sep 23–26, 2019
Michael Brautbar

Michael Brautbar
Manager of Data Science, CarGurus


Michael leads the data science team at CarGurus, a prominent automotive marketplace. His expertise is in algorithms, data mining, deep learning and machine learning, and statistics. His work focuses on creating solutions to central problems in online advertising and other fundamental aspects of the business. In the past, he worked in the capacities of director of data science, lead data scientist and principal data scientist, applying his expertise to create solutions to prime problems in actuary and healthcare, CRM, restaurant management software, and retail.

Michael is a Hebrew University alumnus (BS, MS), a University of Pennsylvania alumnus (MS, PhD), and a Microsoft Research alumnus.


2:55pm3:35pm Wednesday, September 25, 2019
Location: 1A 08/10
Secondary topics:  Media and Advertising, Retail and e-commerce
Fei Wang (CarGurus), Michael Brautbar (CarGurus)
This session will present the case study for the CarGurus TV Attribution Model. Attendees will learn how the creation of a causal inference model can be leveraged to calculate cost per acquisition (CPA) of TV spend and measure effectiveness when compared to CPA of Digital Performance Marketing spend. Read more.

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