Daniel Epstein
Data Scientist
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolDaniel Epstein is a data scientist based in the San Francisco Bay Area with a decade of experience building and productionizing machine learning systems across cloud platforms. He has delivered high-impact recommendation and matching engines at Riviera Partners and Korn Ferry using TensorFlow, PySpark, and reinforcement/transfer learning, and currently applies that expertise at Haus. His work combines deep learning for NLP (achieving >95% precision/recall on tagging) with pragmatic MLOps—packaging models into APIs and leveraging AWS/Azure to generate thousands of leads and power SaaS sales predictions. Trained as a neuroscientist (PhD) and experienced in fMRI/EEG analysis, he brings a researcher's rigor to messy, real-world data and model evaluation. Colleagues rely on him to shrink prototype-to-production time via reusable Python tooling and automated ingestion pipelines. He pairs technical breadth with a knack for rapidly adapting models to changing user behavior, not just improving metrics but creating operationally reliable systems.
10 years of coding experience
11 years of employment as a software developer
University of Southern CaliforniaBachelor's degree, Neuroscience, Bachelor's degree, Neuroscience at USCThe University of UtahAdaptive Neurotechnology, Adaptive Neurotechnology at NCAN summer course
Stackoverflow
25reputation
8kreached
2answers
2questions
Github Skills (12)
pdf6
binding6
javafx6
configurations6
observablelist6
driver6
mongodb6
apache-camel6
android6
java6
nodejs5
javascript4
Github contributions (5)
djepstein87/Movie-Location-Shiny
Apr 2017 - Jul 2017
Contributions:4 pushes, 1 branch in 3 months
djepstein87/menu_scrapy
Feb 2017 - Apr 2017
Contributions:3 pushes, 1 branch in 2 months
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