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

Yohan Chin
Head of Data Science, Tapjoy

Website

Yohan Chin works as a head of data science at Tapjoy, – focus on personalized mobile advertising, audience targeting, in-app user LTV maximization. His team works on data science modeling/data science back-end engineering/data insight visualization. Prior to Tapjoy, he was a lead research scientist at MySpace, where he led to build personalized music/video recommendation and multiple other data science products with social networking data. He has Ph.D. in Computer Science from University of Texas Dallas, B.S. from Seoul National University.

Sessions

9:30am10:00am Tuesday, March 14, 2017
DCS
Location: LL20 A
Robin Li (Tapjoy), Yohan Chin (Tapjoy)
Average rating: ***..
(3.86, 7 ratings)
To ensure that users have the best application experience, Tapjoy has architected a data science service to handle ad-requests optimization and personalization in real time. Robin Li shares the critical considerations for building such a Lambda architecture and details the methods Tapjoy used to evaluate and implement its real-time architecture. Read more.