Summary
Nathan Shepherd is a data scientist with nine years of experience turning data into operational value, currently applying his skills at Meijer Pharmacy. He combines practical expertise in SQL, Python, R, Tableau and Linux with a track record of building self-serve BI systems, automated reporting, and productionized predictive models that reduce cost and risk. Earlier roles at the University of Michigan and Dealership Advantage show he can both invent novel data collection schemes and deploy ML/NLP solutions that speed delivery and improve efficiency. He has measurable impact—ranging from a 30% increase in data usability and 15% hardware cost savings to a 50% faster user onboarding—and maintains public project samples on GitHub. Colleagues describe him as a collaborative problem-solver who bridges statistical rigor with pragmatic engineering to deliver business outcomes.
9 years of coding experience
9 years of employment as a software developer
Undergraduate, Data Science, Undergraduate, Data Science at University of Michigan
International Baccalaureate Diploma, Physics, International Baccalaureate Diploma, Physics at Harrison High School