Keegan Skeate is a data scientist and founder with a decade of cross-disciplinary experience blending economics, lab science, and software engineering. He built Cannlytics to deliver cannabis analytics and a serverless LIMS, automating lab workflows, QA reporting, and integrations with state traceability systems using Python. Keegan’s background as a laboratory analyst gives him uncommon domain expertise—he’s operated HPLC/GC instruments and translated wet-lab processes into production automation. Comfortable across the stack, he has shipped CRM and reporting apps, LaTeX-driven analytics reports, and routing solutions that solved real-world logistics problems. Based in Olympia, WA, he brings an economist’s rigor to product decisions and a maker’s drive for pragmatic, reproducible tooling.
10 years of coding experience
2 years of employment as a software developer
Master of Science (M.S.) Economics, Master of Science (M.S.) Economics at University of North Carolina at Charlotte
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