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Daniel Preda
Data Science Lead
Daniel Preda is a seasoned Data Scientist with over a decade of experience specializing in building and optimizing large scale machine learning systems.
He holds a Bachelor of Science in Physics from the Massachusetts Institute of Technology (MIT), a Master of Engineering in Computer Science from MIT, and obtained his Ph.D. in Computer Science from the University of California, Berkeley.
Daniel has an impressive professional background, having worked as a Staff Machine Learning Engineer at Twitter, a Principal Data Scientist at CrossInstall, and a Staff Modeling Scientist at Quantcast.
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Location
San Francisco Bay Area
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