Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & Conference
San Jose, CA
Karthik Ramasamy

Karthik Ramasamy
Data Science Manager, Uber

Website | @_cartick

Karthik Ramasamy leads a data science team at Uber focusing on solving fraud problems using machine learning. His team builds advanced machine learning models like semisupervised and deep learning models to detect account takeovers and stolen credit cards. Previously, Karthik was a cofounder of LogBase, where he worked on real-time analytics infrastructure and built models to rate drivers based on their driving behavior, and a founding member of the LinkedIn security team, where he developed various security products, with a particular focus on anti-automation efforts.

Sessions

11:00am11:40am Thursday, March 8, 2018
Data science and machine learning
Location: LL21 B Level: Intermediate
Karthik Ramasamy (Uber), Lenny Evans (Uber)
Average rating: *****
(5.00, 1 rating)
Stolen credit cards are a major problem faced by many companies, including Uber. Karthik Ramasamy and Lenny Evans detail a new weapon against stolen credit cards that uses computer vision to scan credit cards, verifying possession of the physical card with basic fake card detection capabilities. Read more.