Matthew Swahn

Data Science Manager

Virginia, United States
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Summary

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Senior
🎓
Top School
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.
code8 years of coding experience
job4 years of employment as a software developer
bookBachelors of Science, Mathematics, 3.4, Bachelors of Science, Mathematics, 3.4 at New York University - Polytechnic School of Engineering
bookMS, Biostatistics, 3.7, MS, Biostatistics, 3.7 at State University of New York at Albany
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Github Skills (23)

sentence10
sentiment-classification10
roberta10
electra9
multilingual9
sentence-embeddings9
similarity9
word-embeddings9
recurrent-neural-networks9
distilbert9
sentence-similarity9
nlp8
sentiment-analysis8
natural-language-processing8
torchtext8

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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Contributions:112 commits, 56 pushes, 4 branches in 9 months
Contributions:18 pushes in 4 months
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Matthew Swahn - Data Science Manager