Tyler Blume is a Lead Data Scientist based in Atlanta with nine years of experience turning statistical rigor and pragmatic engineering into business impact across retail and consumer goods. Comfortable both leading teams and diving into code, he blends classical econometrics (GLS, MLE, Ridge/LASSO) with modern ML tools in Python (SciPy, scikit-learn) to build validated, production-ready models. His background ranges from hands-on Python development and SQL-backed reporting at The Home Depot to managing data science at Newell Brands and now Daybreak, giving him deep domain knowledge in retail forecasting and experimentation. A lifelong learner who describes himself as “an expert at becoming an expert,” he pairs creative problem solving with a commitment to Occam’s Razor to deliver simple, defensible solutions. He also brings full-stack web experience (MySQL/HTML/PHP/JS) and practical competition experience from Kaggle to bridge analytics, engineering, and deployment.
9 years of coding experience
6 years of employment as a software developer
Master’s Degree Economics, Master’s Degree Economics at University of South Florida
Bachelor’s Degree Economics, Bachelor’s Degree Economics at Marietta College
Contributions:31 commits, 25 pushes, 1 branch in 6 months
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