Real impact, measurable results

Deployed a multi-horizon demand sensing model and inventory optimization engine that reduced stockouts by 61% and cut excess inventory by $31M.

Built a 72-hour ahead solar and wind output forecasting system that improved grid balancing accuracy by 38% and reduced curtailment losses by $9.2M annually.

Built a unified Customer 360 platform with real-time churn prediction, increasing retention by 28% and driving $44M in incremental revenue through personalized re-engagement.

Helped GridSmart reduce grid inefficiencies and enable dynamic pricing by building a real-time analytics platform processing 2B+ data points daily.

Reduced monthly churn by 43% and increased net revenue retention to 118% by deploying a behavioral churn prediction model with automated intervention playbooks.

Reduced inventory holding costs by 31% and eliminated 92% of stockout events by deploying AI-powered demand forecasting across 800 SKUs.