Presented By O'Reilly and Cloudera
Make Data Work
March 13–14, 2017: Training
March 14–16, 2017: Tutorials & Conference
San Jose, CA
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.


1:50pm2:30pm Thursday, March 16, 2017
Data science & advanced analytics
Location: 230 A Level: Intermediate
Secondary topics:  ecommerce, Media
Michelangelo D'Agostino (ShopRunner), BIll Lattner (Civis Analytics)
Average rating: ****.
(4.00, 2 ratings)
How do we know that an advertisement or promotion truly drives incremental revenue? Michelangelo D'Agostino and Bill Lattner share their experience developing machine-learning techniques for predicting treatment responsiveness from randomized controlled experiments and explore the use of these “persuasion” models at scale in politics, social good, and marketing. Read more.