Dev Kashikar is a Senior Data Scientist based in San Francisco with six years of experience turning complex datasets into revenue-driving ML solutions across retail, energy, and consulting. At Gap and Harbor Freight he built production time series and optimization models that directly influenced multimillion-dollar inventory and allocation decisions, then operationalized them in cloud environments like Azure Databricks. At NRG he combined causal inference and CLV modeling to inform retention and monetization strategies, and now brings that cross-industry ML product experience to McKinsey. His academic work on behavior-based ASD diagnosis and early computer vision projects demonstrate a strong research-to-production pipeline mindset. Outside work he’s as competitive on the pickleball court as he is with models, reflecting a results-oriented and team-minded approach.
6 years of coding experience
6 years of employment as a software developer
Master of Science - MS Computer Engineering, Master of Science - MS Computer Engineering at University of California, Davis
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