At PriceEasy AI, I lead commercial analytics and pricing system configurations for global energy enterprises including Shell, BP, Chevron, and ExxonMobil across 4,000+ managed fuel sites. I architected zone-based pricing for three major accounts, delivering a 12% fuel-volume uplift while keeping margin erosion below 1.5%.
I turn complex commercial data into practical decisions, from prioritizing six expansion markets across 20+ territories to defining competitor-response, margin-floor, and time-of-day pricing rules. I also built a GenAI-powered reporting automation pipeline with Google Workspace scripting, Snowflake SQL, and LLM prompt engineering, eliminating more than 100 monthly hours of manual reporting.
Previously at BYJU'S, I analyzed more than 1 million weekly user interactions to identify retention levers that reduced monthly customer churn by 15%. I also led requirements engineering for Salesforce CRM and analytics warehouse integration, improving customer data integrity by 20%.
I'm grounded in SQL, Python, Power BI, and commercial analytics, with experience connecting technical teams, business operations, and leadership around measurable outcomes.
