Deep Desai is an Associate Data Scientist with nine years of technical experience and a strong academic foundation from UT Dallas and ETH Zürich in data science and mathematics. He blends theoretical rigor in probability and machine learning with hands-on engineering—evidenced by image-processing and automation work at Coherent Corp. and ongoing applied data science at Capgemini. Deep pursues visual computing and ML research as an independent investigator, bringing practical skills honed through hackathons and datathons to bridge research ideas with production-ready code. Based in Bellevue, WA, he seeks roles that leverage both his mathematical depth and software craftsmanship to build intelligent, deployable systems.
9 years of coding experience
Bachelor of Science - BS, Data Science, Bachelor of Science - BS, Data Science at The University of Texas at Dallas
Master of Science - MS, Data Science, Master of Science - MS, Data Science at ETH Zürich
Contributions:8 PRs, 57 pushes, 5 branches in 15 days
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