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Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY
Michelangelo D'Agostino

Michelangelo D'Agostino
Vice President, Data Science and Engineering, ShopRunner


Michelangelo D’Agostino is the vice president of data science and engineering at ShopRunner, where he leads a team that develops statistical models and writes software that leverages their unique cross-retailer ecommerce dataset. Previously, Michelangelo led the data science R&D team at Civis Analytics, a Chicago-based data science software and consulting company that spun out of the 2012 Obama reelection campaign, and was a senior analyst in digital analytics with the 2012 Obama reelection campaign, where he helped to optimize the campaign’s email fundraising juggernaut and analyzed social media data. Michelangelo has been a mentor with the Data Science for Social Good Fellowship. He holds a PhD in particle astrophysics from UC Berkeley and got his start in analytics sifting through neutrino data from the IceCube experiment. Accordingly, he spent two glorious months at the South Pole, where he slept in a tent salvaged from the Korean War and enjoyed the twice-weekly shower rationing. He’s also written about science and technology for the Economist.


11:20am–12:00pm Thursday, 09/13/2018
Location: 1E 10/11 Level: Non-technical
Secondary topics:  Machine Learning in the enterprise, Retail and e-commerce, Transportation and Logistics
Average rating: ****.
(4.75, 4 ratings)
Data scientists are hard to hire. But too often, companies struggle to find the right talent only to make avoidable mistakes that cause their best data scientists to leave. From org structure and leadership to tooling, infrastructure, and more, Michelangelo D'Agostino shares concrete (and inexpensive) tips for keeping your data scientists engaged, productive, and adding business value. Read more.