Nathan Rooy

Data Scientist

New York, New York, United States
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Summary

👤
Senior
🎓
Top School
Nathan Rooy is a data scientist in New York with nine years of experience applying machine learning to real-world problems across media, urban analytics, and aerospace. He moved from CFD-driven aerodynamic shape optimization and race car design into building end-to-end ML pipelines that mine social signals for site selection and smart-city applications. At Spatial.ai he was an early technical hire who combined NLP, deep learning, spatial-temporal modeling, and custom AWS scraping to deliver production systems; he now builds data-driven features at Shutterstock. Comfortable with both research-grade tools (OpenFOAM, adjoint optimization) and production stacks (TensorFlow, scikit-learn, SQL, Elasticsearch), he brings a pragmatically scientific mindset to messy, spatially dependent data. Unusually, his background blends wind-tunnel validated engineering and publication-grade materials research with hands-on ML deployment experience.
code10 years of coding experience
job6 years of employment as a software developer
bookBachelor of Science (B.S.), Aerospace Engineering, Bachelor of Science (B.S.), Aerospace Engineering at University of Cincinnati
bookMaster of Science (M.S.), Motorsport Engineering, Master of Science (M.S.), Motorsport Engineering at Cranfield University
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Github Skills (85)

plotly-dash10
python10
tensorflow-lite10
deep-learning10
vincenty10
scientific-computing10
optimization10
object-tracking10
genetic-algorithm10
matrix10
statistics10
haversine10
osmnx10
dependency-free10
golang10

Programming languages (10)

TypeScriptC++CSCSSJavaScriptGoHTMLJupyter Notebook

Github contributions (5)

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The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds.
Contributions:1 release, 102 commits, 10 PRs in 1 year 5 months
edge-computingpedestrian-countingbike-countingcar-countingurban-design
nathanrooy/bwo

Dec 2020 - Jan 2021

Black Widow Optimization implemented in pure Python.
Contributions:3 releases, 36 commits, 8 PRs in 1 month
pythonevolutionary-algorithmnonlinear-optimizationbio-inspiredmeta-heuristic
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