Rohan Joseph
Data Scientist
Palo Alto, California, United States
Summary
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Senior🎓
Top SchoolRohan Joseph is a data scientist with eight years of experience building end-to-end analytical solutions for Fortune 10 technology and large retail clients, currently forecasting Apple product repair rates to inform finance accruals. He blends strong foundations in operations research, electrical engineering, and practical business acumen to solve production and warranty problems using time-series forecasting, anomaly detection, and optimization. Past engagements include optimizing daily steel coil schedules at Noodle.ai and building automated anomaly-detection frameworks and promotion-effectiveness tools for major retailers and a leading consumer tech brand. Comfortable across the stack, he works in Python, R, SQL, Hadoop/Hive, Teradata and Tableau, and has applied models through deployment to measure real business impact. Known for translating complex math into clear business decisions, he also creates educational analytics content and tooling to democratize insights. Based in Palo Alto, he combines big-data experience with a bias for operationalizable solutions that drive measurable ROI.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Operations Research, Master of Science - MS, Operations Research at Virginia TechAnna University, Chennai10th Board, CBSE, 87.2%, 10th Board, CBSE, 87.2% at Vishwa Bharati Public School, Noida12th Board, ISC, 87.8%, 12th Board, ISC, 87.8% at St. Joseph's Boys High School, Bangalore
English, Hindi, TamilGithub contributions (5)
rohanjoseph93/Stock-Analysis-in-Python
Feb 2018 - Aug 2021
Contributions:11 commits, 9 pushes, 1 branch in 3 years 5 months
rohanjoseph93/Python-for-data-science
Jul 2018 - Jan 2019
Contributions:10 commits, 9 pushes, 2 branches in 5 months
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