James Mcelveen is a Senior Data Scientist with a decade of experience applying ML and analytics to industrial and customer-facing problems, currently at Muck Rack after leadership roles at project44 and Grainger. He designs and ships production ML pipelines using Python, R, and SQL to automate analyses and translate stakeholder needs into measurable outcomes. His background in physics and molecular biology gives him a rigorous quantitative foundation and a knack for interpreting complex systems, from heavy machinery failure prediction to supply-chain optimization. Comfortable both managing teams and doing hands‑on modeling, he has a track record of turning domain knowledge into operational impact. Outside work he sharpens his skills on Kaggle, studies the math behind ML, and explores the political and social applications of data science.
10 years of coding experience
9 years of employment as a software developer
Master of Science (M.Sc.), Physics, Master of Science (M.Sc.), Physics at University of California, Davis
University of Illinois Urbana-Champaign
Master of Science (M.Sc.), Physical Sciences, Master of Science (M.Sc.), Physical Sciences at University of Chicago
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