Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK
Danielle Dean

Danielle Dean
Technical Director, Machine Learning, iRobot

Website | @danielleodean

Danielle Dean is the technical director of machine learning at iRobot. Previously, she was a principal data science lead at Microsoft. She holds a PhD in quantitative psychology from the University of North Carolina at Chapel Hill.

Sessions

14:05–14:45 Wednesday, 23 May 2018
Executive Briefing: Lessons learned managing data science projects—Adopting a team data science process
Executive Briefing, Strata Business Summit
 Location: Capital Suite 17 Level: Beginner
Danielle Dean (iRobot)
Average rating: ****.
(4.80, 5 ratings)
Danielle Dean covers the basics of managing data science projects, including the data science lifecycle, and offers an overview of an internal approach at Microsoft called the Team Data Science Process (TDSP). Join in to learn more about the typical priorities of data science teams and the keys to success on engaging and creating value with data science. Read more.