David Small
Associate Director Data Science
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolDavid Small is an Associate Director of Data Science with 11 years' experience blending earth science expertise, stochastic modeling, and production-grade Python development to solve insurance and climate risk problems. He has led casualty catastrophe modeling teams and built entity-resolution and model-validation systems that operationalize complex risk and company data across clients and product lines. David pairs deep academic training in hydrology and atmospheric science (PhD) with hands-on industry delivery at Verisk, Kemper, Avant, and Moody's, plus original research on extreme-weather forecasting and long-lead flood prediction. Comfortable across Java, SQL and NoSQL, he favors pragmatic tool choices that bridge research and production. Colleagues rely on him for clear scoping and client communication as much as for rigorous statistical and ML modeling. An unexpected through-line in his career is repeatedly turning climate and hydrologic science into deployable, auditable analytics for commercial risk management.
11 years of coding experience
22 years of employment as a software developer
Doctor of Philosophy (PhD) Environmental Engineering (Hydrology), Doctor of Philosophy (PhD) Environmental Engineering (Hydrology) at University of CincinnatiBachelor of Science (B.S.) Physics and Electrical Engineering, Bachelor of Science (B.S.) Physics and Electrical Engineering at Wright State UniversityM.S. Atmospheric Science, M.S. Atmospheric Science at McGill University
Github Skills (20)
search-engine9
java9
elasticsearch9
rest8
webservice7
restful7
database6
jetty6
jax-rs6
dropwizard6
rdbms6
sql5
hibernate5
jdbc5
jdbi3
Programming languages (3)
Github contributions (5)
allcleardev/allclear-service
Apr 2020 - Oct 2022
Contributions:3 PRs, 211 pushes, 17 branches in 2 years 6 months
smalleyd/small-library
Oct 2014 - Oct 2022
Contributions:22 commits, 226 pushes, 3 branches in 8 years 1 month
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