Presented By O’Reilly and Cloudera
Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY
Wenjing Zhan

Wenjing Zhan
Data Scientist, Talroo

Wenjing Zhan is a data scientist at Talroo, where she is in charge of predictive machine learning. Previously, Wenjing aided in search relevance through classification modeling and has done data engineering with Apache Spark and machine learning in Scala, R, and Python. She holds a master’s degree in statistics from the University of Texas at Austin.

Sessions

2:00pm–2:40pm Thursday, 09/13/2018
Job recommendations leveraging deep learning using Analytics Zoo on Apache Spark and BigDL
Location: 1A 15/16 Level: Intermediate
Secondary topics:  Deep Learning, Media, Marketing, Advertising
Guoqiong Song (Intel), Wenjing Zhan (Talroo), Jacob Eisinger (Talroo )
Can the talent industry make the job search/match more relevant and personalized for a candidate by leveraging deep learning techniques? Guoqiong Song, Wenjing Zhan, and Jacob Eisinger demonstrate how to leverage distributed deep learning framework BigDL on Apache Spark to predict a candidate’s probability of applying to specific jobs based on their résumé. Read more.