Taylor Smith is a Principal Data Science Consultant and product leader with 14 years of experience turning economics, statistics, and software engineering into practical ML-driven products that empower millions of users and associates. With a Ph.D. in Economics and a background teaching data analysis, Taylor blends rigorous quantitative thinking with hands-on Python development and product management at scale across Walmart, Thrasio, and Tractor Supply. They launched an automated replenishment and forecasting system that cut MAPE by 20 percentage points and led product efforts that doubled daily active usage in merchant tools. An active open-source contributor, Taylor has contributed strategies and test automation to the well-regarded Axelrod-Python repository for the Iterated Prisoner’s Dilemma, demonstrating curiosity about foundational game-theory research as well as production reliability. Based in Bentonville, they also mentor through Software/Data Carpentry and coordinate community tax assistance, reflecting a commitment to practical education and civic engagement.
14 years of coding experience
16 years of employment as a software developer
B.S. Mathematics, B.S. Mathematics at Louisiana College
Ph.D. Economics, Ph.D. Economics at University of Mississippi
Certificate in Machine Learning, Certificate in Machine Learning at Cornell University
A research tool for the Iterated Prisoner's Dilemma
Role in this project:
Back-end Developer & Test Automation Engineer
Contributions:5 commits, 2 PRs, 7 comments in 3 days
Contributions summary:Taylor primarily contributed to adding new strategies and improving existing ones for the Iterated Prisoner's Dilemma game. They implemented the "Slow Tit For Two Tats 2" and "GeneralSoftGrudger" strategies, expanding the game's strategic options. The user also wrote and modified tests for the strategies, ensuring the correctness and reliability of the game logic. Furthermore, the user also fixed documentation issues.
Contributions:2 pushes, 1 branch in 1 year 5 months
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