Staff Data Scientist
Walmart Global Tech · Sam’s Club Supply Chain TechLeading applied AI, optimization, simulation, and GenAI initiatives across supplier performance, fresh quality, replenishment, labor planning, logistics, and claims.
About
Retail depth, technical range, and a builder’s mindset.
Harshavardhan Nannur is a Staff Data Scientist at Walmart with 13+ years across retail analytics, data science, and applied AI.
I build AI systems for the point where analysis becomes an operating decision.
My career began in customer analytics and measurement, expanded into forecasting and causal analysis, and then moved deeper into optimization, simulation, machine learning, and generative AI for retail supply chains.
That progression shaped a practical view of AI: a good model is not enough. The system must reflect constraints, explain the signal, fit the workflow, and help a person take a better action.
Career arc
Associate → Senior Manager, Data Science
TredenceProgressed through four roles while leading retail work across customer experience, forecasting, merchandising, workforce planning, inspection risk, and supply-chain optimization.
Senior Analyst
LatentView AnalyticsBuilt an early foundation in customer analytics through profiling, segmentation, campaign measurement, A/B testing, SQL, SAS, and Tableau.
Working range
Applied AIDecision intelligenceRetail AISupply-chain intelligenceAgentic AIProduction machine learningOptimizationSimulation
Education
MS, Business Analytics and Project Management · University of Connecticut
BE, Electrical and Electronics Engineering · BITS Pilani
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