Jason Whittle is a Principal Data Scientist and Ph.D. economist with 17 years of experience applying causal inference, forecasting, and machine learning to revenue, retention, and policy questions. He has led CLV and retention modeling for B2B and marketing teams at Pluralsight and now brings that product-focused, productionalization expertise to healthcare analytics at Children's Mercy. Jason combines rigorous econometric training with hands-on engineering—Docker, AWS, Snowflake and Python—to ship reliable, scalable models in production and mentor junior scientists. His research breadth spans climate and resource economics to applied Bayesian and time-series methods, and he also contributes to open-source back-end tooling (notably testing and data-integrity improvements for the Yesod Haskell web framework). Colleagues describe him as highly organized, collaborative, and a lifetime learner who turns complex data problems into actionable business impact.
Contributions:7 commits, 5 PRs, 1 comment in 1 year 10 months
Contributions summary:Jason contributed to the testing and implementation of the Yesod web framework. They implemented new test helpers to improve testing capabilities, specifically focusing on location header parsing and route verification. The user also added functionality to handle uniqueness constraint violations, demonstrating a focus on data integrity and error handling within the framework. Furthermore, they made adjustments to accommodate upgrades to dependencies and overall framework maintenance.
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