I’m a Senior Business Intelligence Developer who architected the data pipeline for my company’s first AI-driven inventory optimization initiative, automating 100% of manual calculations by integrating high-volume demand, forecast, usage, and purchase order data with SSMS, SSIS, Azure Blob, and Power Automate. By combining predictive modeling with LLM-powered insights, I helped project a $20M reduction in inventory costs, while also improving on-time shipment performance from 91% to 98.5% through SQL/Python analysis and Power BI visibility into promised vs. actual ship dates.
I strengthen decisions with measurable outcomes—boosting on-time manufacturing (89% to 97%), recovering $1Mn+ in undue freight surcharges, and generating 300k+ in annual savings by launching real-time Power BI inventory dashboards across 3 warehouses. I also standardize and secure data end-to-end by improving HR data accuracy by 95% and reducing manual processing time by 60% using automated SSIS dataflows, and I increase revenue impact by raising dealer quote-to-order conversion by 12% with segmentation-driven Power BI dashboards and promo code strategies.
India