Summary
Ronak Shah is a Product Manager specializing in Data and Applied AI with 12 years of experience building large-scale data products and GenAI prototypes that drive revenue and operational efficiency for retail advertising platforms. Currently at Walmart Connect, he leads hybrid onshore/offshore teams to deliver sponsor ad growth (50%+ YoY) through centralized data lakes, advertiser-facing tools, and agile cross-functional rollouts. His background spans finance, BI, and ML-supporting infrastructure from roles at Meta and startups, giving him a rare blend of hands-on data engineering fluency and strategic GTM/product instincts. He holds an MS in Applied Analytics from Columbia and has repeatedly translated analytics into monetization pilots and automated workflows that saved time and cost across supply chain and ad operations. Notably, he pairs enterprise-scale execution with a penchant for rapid GenAI prototyping to unlock new seller activations and retention levers.
12 years of coding experience
8 years of employment as a software developer
Indian Institute of Technology Kanpur
SSC, SSC at Fatima High School - Vidyavihar, Mumbai
D.G.Ruparel Junior College, Mumbai
Master of Science - MS Applied Analytics, Master of Science - MS Applied Analytics at Columbia University
English, Hindi, Marathi, Gujarati