Summary
Stephen Parvaresh is a Senior Data Scientist II in Austin who blends a neurobiology foundation with six years of applied data science experience to build biometric and cognitive models for productized cognitive technology. He has led end-to-end projects at Senseye—turning pupillary, eye movement, and heart-rate time-series into predictive models for fatigue, intoxication, and drug-use—while also applying computer vision to extract novel biometric features. Comfortable bridging lab and product, Stephen’s background managing environmental chemistry labs and neurophysiology experiments gives him uncommon fluency in experimental design, instrumentation, and data quality. He pairs formal data science training (Udacity, Columbia, Berkeley, General Assembly) with hands-on ML engineering to ship insight models in startup settings. Known for synthesizing research into actionable reports, he excels at turning complex biological signals into concise stories for clients. Outside work, his trajectory suggests a pragmatic curiosity—moving from bench neuroscience to production ML to impact-facing cognitive tech.
6 years of coding experience
11 years of employment as a software developer
Foundations of Data Science, Foundations of Data Science at University of California, Berkeley
Data Science Nanodegree Program, Data Science Nanodegree Program at Udacity
Statistical Thinking for Data Science and Analytics, Statistical Thinking for Data Science and Analytics at Columbia University in the City of New York
Bachelor of Science (B.S.), Neurobiology and Neurosciences, Bachelor of Science (B.S.), Neurobiology and Neurosciences at The University of Texas at Austin
Data Science, Data Science at General Assembly