Summary
Ryan Scharf is a catastrophe modeler with 10 years of experience blending advanced R-based analytics, reproducible tooling, and domain expertise to quantify and mitigate insurance risk. He has led catastrophe modeling teams and platform launches, built company-wide R packages and APIs, and automated event and model workflows for underwriting, reinsurance, and live-event response. Ryan excels at integrating novel data sources (including wildfire and storm feeds), translating model outputs into actionable underwriting guidelines, and building cross-functional relationships to operationalize analytics. Based in Tampa, he pairs a pragmatic engineering mindset with a researcher’s curiosity—on weekends you’ll find him hiking, throwing disc golf, or arguing why zip codes are a poor proxy for spatial analysis.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Science (B.S.) Information Science Concentration in Data Science & Analytics, Bachelor of Science (B.S.) Information Science Concentration in Data Science & Analytics at University of South Florida
English