Evan Moore
Data Scientist
Amherst, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolEvan Moore is a data scientist with 10 years of experience specializing in statistical baselining, anomaly detection, and unsupervised learning to build end-to-end solutions for fraud detection and user behavior analytics at MassMutual. He has a track record of leveraging historical client data to predict adverse outcomes like complaints and policy lapses, and brings strong software engineering practices to productionize models. Trained with an MS in Computer Science and a multidisciplinary background in English and Informatics, he blends rigorous quantitative skills with clear communication and visualization expertise. He is also actively exploring generative modeling and NLP, reflecting a curiosity for emerging ML frontiers beyond his insurance-focused work. Outside of analytics, he’s a drummer and avid reader, a detail that underscores a creative, rhythmic approach to problem solving.
10 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Massachusetts Amherst
English
Github Skills (12)
traits8
model-comparison5
shiny5
reproducible-research5
machine-learning4
forecasts4
interoperability4
python4
time-series3
forecasting3
r3
data-science3
Programming languages (4)
Github contributions (5)
FluSightNetwork/FSN-Model-Comparison
Mar 2018 - Jun 2018
Shiny app for FSN model comparison
Contributions:33 commits, 6 PRs, 37 pushes in 2 months
shiny-appcomparisonshinymodel-comparison
evanm31/Tunes
Feb 2018 - Apr 2018
Contributions:34 pushes in 2 months
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