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

Anny Chen
Senior Data Scientist, Uber

Anny (Yunzhu) Chen is a senior data scientist at Uber working on time series anomaly detection and forecasting. Anny is passionate about applying statistical and machine learning models to real business problems. Previously, she was a data scientist at Adobe, where she worked on digital attribution modeling for customer conversion data. She holds an MS in statistics from Stanford University and a BS in probability and statistics from Peking University.


4:20pm5:00pm Wednesday, March 7, 2018
Secondary topics:  Graphs and Time-series
Andrea Pasqua (Uber), Anny Chen (Uber)
Average rating: ****.
(4.60, 5 ratings)
Time series forecasting and anomaly detection is of utmost importance at Uber. However, the scale of the problem, the need for speed, and the importance of accuracy make anomaly detection a challenging data science problem. Andrea Pasqua and Anny Chen explain how the use of recurrent neural networks is allowing Uber to meet this challenge. Read more.