Summary
Jason Lee is a founder and Chief Data Scientist with eight years of hands-on experience building, deploying, and operationalizing machine learning systems across sports betting, government, and financial services. Based in the Atlanta area, he has led teams and end-to-end ML engineering efforts that produced market-beating predictive models for NFL, NBA, college sports, and automated data pipelines that scaled proprietary betting operations. His background blends rigorous analytics (M.S. Data Science, Northwestern) with practical data engineering, product development, and MLOps—skills he used to turn player- and team-level signals into new betting markets and measurable profit improvements. A former senior machine learning engineer and data scientist in both public- and private-sector settings, he also brings experience automating document and social media analysis to reduce manual work and inform strategy. An avid sports fan, he pairs domain passion with statistical rigor, often translating subtle in-game patterns into predictive advantages.
8 years of coding experience
7 years of employment as a software developer
The University of Utah
M.S. Data Science, M.S. Data Science at Northwestern University