Summary
Roshan Shetty is a Senior Manager and data science leader based in the San Francisco Bay Area with 11 years of experience applying statistics, machine learning and experimentation to marketing, sales, and product analytics. He has a strong track record of turning large-scale data (Python, R, SQL, Spark, Hive) into measurable business impact—examples include a 160% weekly lift in ROAS for online grocery campaigns and rapid-response subscriber segmentation that improved conversions. Roshan has led end-to-end analytic initiatives from forecasting and retention modeling to A/B testing and dashboarding, and he regularly translates technical work into operational playbooks for cross-functional teams. His background spans startups to enterprise engagements, blending hands-on modeling with people leadership at Tredence and prior roles at BlueVine, Tenfold and Deloitte. He pairs formal training (MS Information Systems) and specialized nanodegrees in data/AI with a habit of publishing project work publicly, reflecting both practical delivery and continual skill-building. An underrated strength is his ability to deliver high-impact results on tight timelines, demonstrated by sub-24-hour analytics deliveries during demand surges.
11 years of coding experience
5 years of employment as a software developer
Coursera
AI Nanodegree Artificial Intelligence, AI Nanodegree Artificial Intelligence at Udacity
Master of Science (M.S.) Information Systems, Master of Science (M.S.) Information Systems at University of Cincinnati Carl H. Lindner College of Business
Bachelor of Technology (B.Tech.) Electronics and Communication Engineering, Bachelor of Technology (B.Tech.) Electronics and Communication Engineering at National Institute of Technology Calicut
Hindi, English