Dan Becker

Dan Becker is a renowned figure in the data science and machine learning field, with a rich background that includes founding Kaggle Learn, a popular data science training platform with over 40k users each month.

He has a proven track record in competitions, finishing an impressive 2nd out of 1353 teams in the $3 million Heritage Health Prize data mining competition.

Dan has made significant contributions to the field through his work on the Keras and Tensorflow libraries for deep learning.

His expertise extends to supervising data science consulting projects for Fortune 100 companies, showcasing his leadership and practical skills in the industry.

As a Co-Author of 'Automated Machine Learning for Business', his insights and knowledge are further shared with a wider audience.

Dan Becker's educational background includes a BA in Computer Science from Dartmouth College and a PhD in Economics from the University of Virginia, blending technical and analytical skills.

In his career, he has held various key positions such as VP Product, Decision Intelligence at DataRobot, Founder at Decision.ai, Data Scientist at Google, Director of Product Management at DataRobot, and Data Scientist at Kaggle among others.

His experience ranges from leading product strategy to hands-on data science roles, showcasing a versatile skill set.

Throughout his journey, he has also served as Methodology Director - Assistant Vice President at EXL Analytics and Economist at the Federal Trade Commission, further diversifying his expertise across different domains.