At Swiggy, I built a marketing analytics workflow that automates daily KPI monitoring and ROAS recommendations across campaign data. It improved ROAS by 5–7% at stable spend and average order value, with estimated campaign cost savings of INR 300,000–400,000.
At Rapido, I used customer segmentation, behavioral analysis, geographic targeting, and experiments to improve retention, conversion, and rides. I also built portfolio machine-learning pipelines for delivery-time prediction and review classification.
