Rohan Nanaware is a Staff Data Analyst with nine years of analytics experience and seven years focused on high-impact business initiatives across e‑commerce, supply chain, CRM, pricing and promotions. He combines strong domain understanding with practical technical skills—R, Python, SQL (Hive, PostgreSQL), BigQuery and PowerBI—to turn messy data into clear insights, simulations and actionable recommendations. At Flipkart and now Coupang he has led analytics programs that tie exploratory analysis, optimization (integer programming) and ML (XGBoost, Random Forest) to commercial outcomes. Known as a fast learner and practitioner of relevant analytical best practices, he also has freelanced on the side, sharpening client-facing EDA and ML delivery. Based in Seoul, he brings a cross-cultural perspective from large marketplace environments and a mechanical engineering background that informs his quantitative, optimization-oriented approach.
Contributions:439 commits, 10 PRs, 406 pushes in 5 years
deep-learningpythonmachine-learningdata-science
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