Summary
Matthew Swahn is a Data Science Manager with eight years of experience applying statistical rigor and machine learning to government and public-sector challenges, currently leading data quality and model modernization efforts at Accenture Federal Services. He specializes in entity resolution, NLP, time series forecasting, and scalable Python migrations of legacy SAS workflows, having built production tools from semantic duplicate detection with Sentence-BERT to image search with FAISS. Matthew combines a biostatistics MS and strong practical SQL/SAS background to diagnose pipeline issues, translate complex business rules into robust models, and optimize codebases for performance and scalability. He has a track record of turning messy, multi‑team data into actionable analytics for federal bureaus and has published multiple side projects on GitHub that demonstrate his applied focus on reproducible, production-ready solutions.
8 years of coding experience
4 years of employment as a software developer
Bachelors of Science, Mathematics, 3.4, Bachelors of Science, Mathematics, 3.4 at New York University - Polytechnic School of Engineering
MS, Biostatistics, 3.7, MS, Biostatistics, 3.7 at State University of New York at Albany