Hasan Sulaeman is a Data Scientist and Disease Ecologist based in San Francisco with eight years of experience modeling disease occurrences and dynamics to inform policy decisions. He combines formal training in ecology and evolutionary biology with a data science bootcamp background to translate complex spatiotemporal datasets into actionable insights. Skilled in data management tools and spatial-temporal modeling, he focuses on turning ecological theory into practical surveillance and intervention strategies. Colleagues rely on him for rigorous, reproducible analyses that bridge field ecology, public health, and policy. An analytical thinker with roots in zoology and philosophy, he brings both domain depth and critical reasoning to interdisciplinary problems.
8 years of coding experience
Master of Ecology, Evolution, and Conservation Biology, Ecology and Evolutionary Biology, Master of Ecology, Evolution, and Conservation Biology, Ecology and Evolutionary Biology at San Francisco State University
Diploma Programme (DP), Biology and Chemistry, Diploma Programme (DP), Biology and Chemistry at International Baccalaureate
Data Analytics Bootcamp, Data Science, Data Analytics Bootcamp, Data Science at UC Berkeley Extension
Inpatient Prospective Payment System (IPPS) Provider data by Data.gov
Contributions:4 PRs, 9 pushes, 3 branches in 9 days
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