Eyal Shafran - Staff Data Scientist

Eyal Shafran

Staff Data Scientist

Salt Lake City, Utah, United States

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Summary

👤

Senior

🎓

Top School

Eyal Shafran is a Staff Data Scientist at Intuit with a decade of experience translating advanced physics and optics research into production-ready AI and data systems. A University of Utah Ph.D. in physics, he progressed from microscopy and computational optics research into industry roles where he built computer vision, denoising, and large-scale data pipelines. At Intuit he’s moved into technical leadership, guiding applied ML work that balances rigorous statistical modeling with pragmatic engineering. His background in real-time analysis, TB-scale data handling, and algorithm optimization gives him a rare mix of deep quantitative expertise and hands-on software delivery. Colleagues rely on him for rapid prototyping and system-level troubleshooting rooted in years of instrument- and experiment-driven development. Based in Salt Lake City, he blends academic rigor with product-focused pragmatism to ship robust AI solutions.

10 years of coding experience

15 years of employment as a software developer

The University of Utah

Master of Science (M.Sc.), Physics, Master of Science (M.Sc.), Physics at Ben Gurion University

Bachelor's degree, Physics, Bachelor's degree, Physics at Ben-Gurion University of the Negev

Github Skills (75)

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)

C++ScalaJupyter NotebookPython

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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