ScrutML

Welcome to ScrutML (Scrutable Machine Learning)

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ScrutML was created to provide reliable and accurate player prop projections for sports bettors. My background is in machine learning and data science, where I spent years building complex data pipelines for large-scale machine learning products. Most recently, I worked as a Machine Learning Architect at General Motors, where I led the development of mapping solutions for their autonomous driving system, SuperCruise.

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Over the last year I decided to apply my expertise in data modeling and prediction to something I’m passionate about—sports. What began as a side project has evolved into this site, where I aim to deliver high-quality projections backed by transparent methodology. My goal is to provide bettors with the tools they need to make informed decisions, and I welcome scrutiny of the data and models behind these projections.

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With a deep understanding of both machine learning and sports, I am committed to continuously refining the accuracy of my predictions. I believe in transparency, so I’ll regularly share updates on the performance of the models and make it easy to understand how the projections are generated.