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.
9 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
A Python 🐍 package that implements the logic of 🔥 Cannlytics.
Contributions:1 release, 1 review, 55 commits in 1 year 2 months
apicannabisapppythoncannabis-scriptscannabis
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.