Andrew Nisbet is a freelance data scientist and software engineer with 11 years of experience building production ML systems, geospatial models, and web APIs from the Bay Area. He runs gpxz.io, a SaaS that improves data quality for the natural hazard industry, and consults for clients including Pepsi, Mercedes‑Benz, and Lob on ML-driven supply chain, resume parsing, and geographic competition models. His background spans production pipelines for flood and wildfire risk using satellite imagery and computer vision, to retail forecasting and spatial experiment design. Trained in complex adaptive systems, mechanical engineering and psychology, he combines interdisciplinary thinking with pragmatic engineering to turn messy spatial data into reliable, deployable services.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Science (B.Sc.), Psychology, Bachelor of Science (B.Sc.), Psychology at University of Canterbury
Master of Science (MSc), Complex Adaptive Systems, Master of Science (MSc), Complex Adaptive Systems at Chalmers University of Technology
Python for Water Resources Data Science course website
Contributions:58 reviews, 16 PRs, 106 pushes in 5 months
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