Eric Harley
Director, Yield Optimization
Cockeysville, Maryland, United States
Summary
👤
Senior🎓
Top SchoolEric Harley is a director-level machine learning and data science leader with 13+ years of experience applying advanced modeling, forecasting, and optimization to ad tech and semiconductor manufacturing. He has a proven record of building and scaling multidisciplinary teams and production ML systems—driving >50% cost reduction in forecasting budgets, 4x faster forecast development, and double-digit revenue gains in pilot supply programs. Comfortable bridging research and engineering, he’s modernized ML operations using AWS, Databricks, Snowflake and promoted GenAI adoption to accelerate development. His background as a PhD physicist and former epitaxy process engineer gives him unusual depth in physical modeling and simulation, informing robust data-driven solutions. Now leading yield and ad delivery optimization at Best Buy, he combines technical rigor, cross-functional influence, and a track record of turning complex requirements into measurable business impact.
12 years of coding experience
21 years of employment as a software developer
BA, Physics, Chemistry, BA, Physics, Chemistry at Goshen CollegePh.D., Physics, Ph.D., Physics at University of North Carolina at Chapel Hill
Github Skills (7)
statistics6
python5
science5
machine-learning4
data-analysis4
certificate3
data-science3
Programming languages (2)
Github contributions (5)
ericharley/AdventOfCode
Dec 2021 - Dec 2024
Contributions:2 PRs, 92 pushes, 11 branches in 3 years 1 month
ericharley/xbus504
Apr 2018 - Feb 2024
Contributions:11 pushes, 1 branch in 5 years 11 months
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