Summary
Andy Pickering is a research scientist and data scientist with 12 years of experience turning messy environmental and energy datasets into actionable insights for utilities and research teams. With a PhD in physical oceanography and a strong background in physics, he builds reproducible analysis pipelines and internal R packages, combines R/Python with SQL for large-scale processing, and creates interactive R Shiny tools and parameterized reports to communicate results. He has applied his skills to energy efficiency programs, ocean mixing research, and autonomous vessel data, and maintains community-facing, version-controlled code for reproducible science. A longtime advocate for knowledge sharing, he founded a local data science meetup, blogs about his work, and balances technical rigor with practical impact—often developed while hiking Colorado trails with his wife and two dogs.
11 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (PhD), Oceanography, Doctor of Philosophy (PhD), Oceanography at University of Washington
JHU Data Science Specialization, Data Science, JHU Data Science Specialization, Data Science at Coursera
Data Science Immersive, Data Science Immersive at Galvanize Inc
Bachelor of Science (BS), Physics and Geology, Bachelor of Science (BS), Physics and Geology at Northeastern University
Data Science Career Track, Data Science, Data Science Career Track, Data Science at Springboard