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

Andrew Chen
Software Engineer, Databricks

Andrew Chen is a software engineer at Databricks and a MLflow committer. At Databricks, Andrew is working on tools to simplify the end to end experience of machine learning, all the way from data ETL to model training and deployment. Before working at Databricks, Andrew received his BS in EECS from UC Berkeley in 2016. While in school, Andrew also briefly worked on search quality at Pinterest and search engine marketing at Groupon.


2:05pm–2:45pm Wednesday, 09/12/2018
Location: Expo Hall
Secondary topics:  Model lifecycle management
Mani Parkhe (Databricks), Andrew Chen (Databricks)
Successfully building and deploying a machine learning model is difficult to do once. Enabling other data scientists to reproduce your pipeline, compare the results of different versions, track what's running where, and redeploy and rollback updated models is much harder. Mani Parkhe and Andrew Chen offer an overview of MLflow—a new open source project from Databricks that simplifies this process. Read more.