Eyal Shafran
Salt Lake City, Utah, United States
Summary
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SeniorEyal Shafran is a seasoned data scientist and physicist who currently leads data initiatives as Staff Data Scientist at Intuit, blending rigorous research with production ML. He earned a PhD in Physics from the University of Utah and has nine years of experience spanning academia and industry, delivering data-driven solutions at scale. His toolkit includes Python, TensorFlow, Spark, SQL, and Tableau, with a particular passion for data visualization and turning complex datasets into actionable insights. In previously roles at WGU Labs, Alces Technology, and Vutara, he focused on system optimization, computer vision, image processing, and high-volume data acquisition and analysis for cutting-edge imaging. Based in Salt Lake City, he brings a rare blend of computational optics, advanced analytics, and cross-disciplinary collaboration to drive data-driven decisions and innovative products.
10 years of coding experience
Github Skills (81)
anomaly-detection10
nlp10
data-mining10
forecasting10
ai9
transformer9
python9
deep-learning9
prediction9
pytorch9
machine-learning9
time-series9
scikit-learn9
speech-recognition9
data-science9
Programming languages (4)
Github contributions (5)
eyalshafran/DoingTheDishes
Oct 2018 - Jan 2021
Contributions:10 commits, 6 pushes, 1 branch in 2 years 2 months
eyalshafran/NBAapi
Mar 2017 - Nov 2017
Extract information from NBA api
Contributions:9 commits, 7 pushes, 1 branch in 7 months
apipythonnba-apinbascraper
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