Jay Boice is a seasoned software engineer with 13 years of experience building data-driven systems, most recently leading development and productionalization of FiveThirtyEight’s sports models and forecasts for eight years. He blends modeling, data engineering, automation, and visualization to ship reliable interactive journalism and predictive systems, and previously led HuffPost’s data journalism engineering and a startup acquired by AOL. His work spans large-scale analytics (terabyte-scale data warehouses at state agencies) to maintaining and modernizing open-source forecasting code—contributing Python 3 compatibility and forecast logic improvements to FiveThirtyEight’s widely used NFL ELO repository. Based in Amherst, MA, Jay brings a pragmatic mix of product-minded engineering and long-term operational stewardship across startups, media, and consulting clients.
Contributions:19 commits, 8 pushes, 1 comment in 5 years 5 months
Contributions summary:Jay primarily focused on improving the existing code within the repository by improving python style and making it compatible with python3. The commits reveal modifications to the points calculation system used for forecast evaluation. Additionally, the user updated the project to be compatible with new seasons and game results, which indicates a focus on maintaining and improving the core forecasting logic within the project.
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