Consultant At Regeneron Pharmaceuticals at Insight Global
City of Albany, New York, United States
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Summary
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Senior
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Top School
Semihcan Doken is a data scientist and consultant with a decade of experience applying mathematical and computational techniques across startups and Fortune 400 firms, currently consulting at Regeneron. Trained as a physicist with computational math credentials from Stanford and a CS minor, he builds production-ready ML and data engineering solutions in Python, Spark, and XGBoost to drive business outcomes. His background ranges from designing occupancy-forecasting and price-recommendation systems at a SaaS Round A startup to improving ad-bidding and NLP call-quality models for scale. He has also contributed research-grade algorithm development for astrophysics and protein energy landscapes, reflecting a strong foundation in scientific computing and simulation. An organizer of the Saratoga Machine Learning and Big Data Analytics Study Group, he pairs curiosity-driven problem solving with pragmatic delivery for cross-functional teams.
10 years of coding experience
11 years of employment as a software developer
Bachelor's Physics Major. Computer Science Minor, Bachelor's Physics Major. Computer Science Minor at Middlebury College
Dartmouth College
Science Diploma with Award for Excellence in Math and Sciences Science&Math, Science Diploma with Award for Excellence in Math and Sciences Science&Math at Robert College
Deutsche Schule Istanbul
Computational Math track, Computational Math track at Stanford University
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