Suggestions
Dan Becker
VP Product, Decision Intelligence at DataRobot
Dan Becker is a prominent figure in the field of machine learning and artificial intelligence, currently serving as the Vice President of Product for Decision Intelligence at DataRobot. He has a rich background in data science and product development, with significant contributions to various projects and platforms.
Professional Background
-
Current Role: At DataRobot, Becker leads the roadmap for machine learning development tools, which are responsible for a substantial portion of the company's revenue. He has been instrumental in transitioning DataRobot's offerings from an AutoML tool to a comprehensive suite of machine learning development tools, integrating foundation models and large language models (LLMs) into their platform.1
-
Previous Experience:
- Chief Generative AI Architect at Straive (2023 - Present).
- Founder of Decision.ai, a startup acquired by DataRobot, where he focused on optimizing complex systems through machine learning.1
- Data Scientist at Google (2017 - 2020), where he created the Kaggle Learn platform, enhancing its user base significantly.
- Head of Product at DataRobot (2015 - 2017), contributing to a period of rapid growth for the company.1
Education
Becker holds a PhD in Economics from the University of Virginia and a BA in Computer Science from Dartmouth College. His academic work includes econometrics and spectral analysis applied to voting data.1
Notable Achievements
- Finished second out of 1,350 teams in a major machine learning competition, winning a $500,000 prize.
- Co-authored "Automated Machine Learning for Business" and has supervised data science projects for several Fortune 100 companies.
- Contributed to key libraries for deep learning such as Keras and TensorFlow.1
Dan Becker is recognized not only for his technical expertise but also for his leadership in advancing machine learning applications in business contexts.
Highlights
I played around with 2010s No-Code tools to build apps. They sucked.
But the core idea to let anyone build small apps is revolutionary. And we're close to that working well.