MITHLESH DHABHAI

• Built Should Cost Intelligence tool using NLP to extract ingredient breakup for 40K+ Tesco products and get actual product costs using commodity prices, distribution, packaging, and utility costs. Developed Tableau dashboard to benchmark modeled costs against actual supplier prices and identify cost saving opportunities for procurement negotiations.
• Designed a data driven commodity risk scoring engine to replace manual risk assessments, integrating multi source data across ~50 commodities (£8.7B COGS) using weighted statistical risk models. Displaying insights on a precisely detailed dashboard depicting global supplier and commodity map, enabling risk managers to assess commodity and supplier risks easily
• Delivered Tableau executive dashboards translating complex commercial metrics into clear, business friendly insights for Commercial and Category Directors, including CGM to SVP waterfall analysis and dashboards tracking category pricing and promotional optimization.
• Took end to end ownership of an enterprise Category Management platform, coordinating across 20+ cross-functional teams to replace a month long manual planning process with automated monthly insights.
• Built Market Pulse, a GenAI news intelligence pipeline aggregating global commodity, supplier, and country news via Bing APIs, then using Azure OpenAI to classify, score, and rank articles by business relevance to flag emerging price and supply risks. Automated deduplication and mapping to Tesco's category hierarchy to deliver a structured, decision ready risk feed for sourcing teams.

• Built an interactive Tableau dashboard enabling worldwide review teams to track and log real time decisions, cutting manual review effort and improving stakeholder turnaround.
• Built an XGBoost model (82% accuracy) to tier trial sites and a regression model (84% accuracy) to predict enrollment delays, saving an estimated $2.8M/year.

GPA: 6.95/10.00

GPA: 83%