Andrew Engel is the General Manager of Sports and Gaming at DataRobot. He works with DataRobot customers across sports and gaming, including several Major League Baseball teams. He has been working as a data scientist and leading teams of data scientists for over 10 years in a wide variety of domains from fraud prediction to marketing analytics. Andrew received his PhD in Systems and Industrial Engineering with a focus on optimization and stochastic modeling. He has worked for Towson University, SAS Institute, the US Navy, Websense (now ForcePoint), Stics and HP before joining DataRobot in February of 2016.
One of the most common questions about machine learning is “How do I prepare my data for a machine learning project?” In order to run successful machine learning projects, and create highly-accurate predictive models for your business, you need to prepare your data effectively. But this process doesn’t have to be a burden.