Taylor Archibald is a data scientist with eight years of quantitative and applied ML experience, currently working at Ancestry while pursuing a PhD in Computer Science at Brigham Young University. They combine rigorous academic training in economics, mathematics, and computer science with practical data engineering and statistical analysis applied to real-world problems. Past roles at Bates White involved leading high-stakes pharmaceutical pricing analyses, building tooling in Python and VBA, and communicating complex results to stakeholders. Taylor seeks challenging, user-focused problems and enjoys translating machine learning theory into improvements that measurably help end users. Based in the Salt Lake City area, they bring a blend of consulting discipline, research depth, and hands-on implementation to cross-functional teams. An often-overlooked strength is their track record mentoring students and managing small teams, from teaching assistantships to product development coordination.
8 years of coding experience
2 years of employment as a software developer
Parkland High School
Master's degree, Computer Science, Master's degree, Computer Science at Brigham Young University
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