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

Chao Zhong
Senior Data Scientist, Microsoft

Chao Zhong is a senior data scientist at C+E Analytics and Insights within Microsoft. His current research interests include (deep) machine learning for customer journey and customer lifetime value and (deep) reinforcement learning for interactive customer behavior modeling. Previously, Chao was the lead data scientist at Scopely, a mobile gaming company in LA. Chao was an ABD (all but dissertation) PhD candidate in mathematics at Michigan Technological University. He holds an MS degree in financial engineering from Temple University and a BS degree in computer science from Beijing University of Aeronautics and Astronautics.

Sessions

1:50pm2:30pm Thursday, March 16, 2017
Data science & advanced analytics
Location: LL21 E/F Level: Advanced
Secondary topics:  Hardcore Data Science, Media
Chao Zhong (Microsoft)
Average rating: ****.
(4.67, 3 ratings)
Chao Zhong offers an overview of a new predictive model for customer lifetime value (LTV) in a cloud-computing business. This model is also the first known application of the Fader RFM approach to a cloud business—a Bayesian approach that predicts a customer's LTV with a symmetric absolute percentage error (SAPE) of only 3% on an out-of-time testing dataset. Read more.