Nathan Frey
Data Scientist
Saint Petersburg, Florida, United States
Summary
👤
Senior🎓
Top SchoolNathan Frey is a data scientist with 11 years of experience building production-ready analytics and ML solutions for utilities, energy, transportation, and healthcare clients. He has led data science practice delivery at Capgemini—designing cloud-native pipelines, digital twins, and regulatory-approved clustering/geo-fencing models—and now focuses on improving electric utility network data integrity. Nathan combines hands-on modeling (XGBoost, TensorFlow, HMMs) and large-scale engineering (Spark/Hadoop, ETL, real-time surveillance) with product-minded leadership, hiring, and contract negotiation. He’s delivered measurable business value—$25M in forecasting-driven savings for retail—and created innovative NLP and human-in-the-loop labeling systems for ambiguous geospatial behaviors. Based in Saint Petersburg, FL, he runs a consulting LLC background that informs his pragmatic, client-facing approach to technical strategy. An uncommon strength is his track record translating regulatory and operational constraints into defensible, deployable analytics for highly regulated industries.
11 years of coding experience
18 years of employment as a software developer
B.A. Biology B.A. Economics Biology Economics, B.A. Biology B.A. Economics Biology Economics at University of St. ThomasMaster of Science Health Informatics, Master of Science Health Informatics at University of MinnesotaUNSW Sydney
English
Github Skills (44)
r-package9
geospatial-visualization8
htmlwidgets8
leaflet8
paths7
geospatial7
shiny7
d3js6
cran6
r6
osrm5
plotly5
deck-gl5
bit5
data-visualization5
Programming languages (5)
Github contributions (5)
ngfrey/d3BarGraphV2
Feb 2016 - Apr 2016
Contributions:30 commits, 27 pushes, 1 branch in 2 months
ngfrey/StackOverflowQ
Sep 2015 - Jan 2017
Contributions:4 pushes, 1 branch in 1 year 4 months
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