Maneesh Gupta
Data Scientist
Los Angeles, California, United States
Summary
👤
Senior🎓
Top SchoolManeesh Gupta is a data scientist with nine years of experience turning messy data into actionable insights across fintech and gig-economy platforms. He has driven fraud analytics and marketing analytics at DoorDash, and now applies his expertise to financial products at Wealthfront, building reliable pipelines, dashboards, and models that scale. His background spans applied machine learning, time-series forecasting, and NLP instruction—he’s taught NLP concepts and mentored capstone projects at Galvanize, underscoring a knack for translating complex techniques into practical solutions. Earlier roles at NASA JPL and MIT Lincoln Laboratory reflect strong engineering rigor and experience deploying custom data pipelines and peak-detection algorithms on real-world scientific datasets. Colocated in Los Angeles, he blends product-focused experimentation with productionization skills, often bridging data engineering and modeling to reduce error and combat fraud risk.
9 years of coding experience
9 years of employment as a software developer
Galvanize - San Francisco, SoMaMaster of Engineering (M.Eng.) Mechanical Engineering, Master of Engineering (M.Eng.) Mechanical Engineering at Cornell UniversityProgramming languages (1)
Github contributions (3)
mgupta011235/TweetSafe
Oct 2016 - Jan 2017
Contributions:26 commits, 23 pushes, 1 branch in 3 months
mgupta011235/tweetsafe2
Oct 2017 - Oct 2017
Contributions:1 push, 1 branch in 1 day
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