Nathan Schwab
Clinical Research Associate
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolNathan Epstein is a quantitative engineer in New York with 11 years of experience building data-driven trading and analytics systems across hedge funds and financial technology firms. He blends applied math and operations research training with hands-on software craft—shipping distributed data pipelines, risk analytics, and NLP-driven sentiment strategies using Python, C#, C++, Scala and big-data tools like Spark and Kafka. A committed open-source contributor and member of several foundations, he also publishes research and speaks at conferences, signaling a practice grounded in reproducible science and community engagement. Notably, his background spans both product-facing marketing analytics and low-latency financial infrastructure, giving him rare fluency from experimentation to production.
12 years of coding experience
Bachelor of Science, Communication Sciences and Disorders, Bachelor of Science, Communication Sciences and Disorders at University of Vermont College of Nursing and Health Sciences
Github Skills (43)
python10
machine-learning10
exploratory-data-analysis10
markov-decision-processes10
stochastic-processes10
d3js10
nearest-neighbors9
k-means-clustering9
reinforcement-learning9
javascript9
function-call9
visualization9
simulation9
markov9
fann9
Programming languages (4)
Github contributions (5)
NathanEpstein/stochastic
Aug 2014 - Sep 2020
Simulation of common stochastic processes with native JavaScript
Contributions:24 commits, 1 PR, 9 pushes in 6 years 2 months
javascriptsimulationstochastic-processes
NathanEpstein/Dora
Feb 2016 - Jun 2020
Tools for exploratory data analysis in Python
Contributions:1 review, 38 commits, 13 PRs in 4 years 5 months
exploratory-data-analysispython
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