Built a GenAI recruitment-screening product (10K+ candidates, 15+ campuses), partnering directly with the Director of HR to replace manual evaluation • Drove 500+ man-hours of operational savings by replacing manual evaluator workflows & freeing recruitment bandwidth • Designed candidate scoring to stay fair across UG and MBA applicant pools, preventing structural bias from skewing rankings • Achieved 98% precision vs. human evaluators, clearing the trust bar for HR to greenlight automated candidate scoring Contributed to the development of an invoice classification product, driving automated spend classification for category managers • Optimized executive spend visibility into a $10B+ procurement portfolio, through the definition of a 4 tier spend taxonomy • Owned the training-data strategy for an ML spend classifier, defining the sampling logic that ensured reliable classification • Cut model-validation time per analyst by 20+ hrs through automated identification of misclassified entries through Gen AI

Led a Team of 3 to Develop & deploy a seat-change product for a Top 3 US airline, managing seat optimization across 4,500+ daily flights • Drove $6.6M/yr in savings on staffing costs, through automation of future seat changes via an MILP Seat Change Optimizer • Reduced boarding time by 8% through the early intervention of special needs customers (Wheelchairs, Infants, Pets etc) • Increased NPS by +9 for all families through the identification of family adjacency as the key driver for family related changes • Led a rigorous A/B test across 4,200+ flights over 10 days to isolate optimizer impact & secured executive sign-off for rollout • Quantified Impact of the model into 10+ KPIs & made them available in real time to the Ops team via a Power BI Dashboard

Worked on text-based insights, dashboards, and visualizations that equipped leadership with faster, data-driven decision-making. • Built a text-to-insights pipeline from call-center data that identified operational blockers, accelerating resolution and improving efficiency • Designed interactive dashboards for a global training academy, improving scheduling decisions and resource utilization for pilot training cohorts • Developed trend visualizations for workforce incentive programs, enabling leadership to optimize payout strategies based on adoption patterns

Optimized demand-forecasting models for footwear supply chain, improving SKU allocation efficiency

Worked on understanding the growth of payment platforms in various small sized restaurants and dhabas by conducting surveys personally and analyzing the data using machine learning to draw insights into the subject.

Worked on a an application used to track charging stations for EVs, used figma to wireframe the application and javascript for its implementation.