Applied AI, machine-learning, and analytics work that shipped to production and moved revenue.
Built an in-house dynamic pricing system from scratch — no third-party vendor — combining pricing science with data models. Cut discount dependency by 35% and expanded contribution margin (CM2) by 25% without trading off volume.
Redesigned multi-warehouse inventory placement using machine-learning guardrails, cutting shipment splits by 75% and saving ₹13Cr per month in logistics costs with zero additional headcount.
Designed and rolled out in-house AI-powered (LLM) customer service agents that lifted NPS by 14% while improving service turnaround and containing support cost.
Led a cross-functional team at Careem to architect an AI-led creative intelligence layer — automated pipelines that benchmark competitor ads and surface actionable data insights for growth.
Designed incrementality A/B tests across TikTok, Meta, and Google to measure true marketing lift, identifying a potential annualized burn reduction of USD 100,000.
Delivered 40+ custom dashboards across revenue, user, social, and product analytics, giving leadership real-time visibility and a single source of truth for decision-making.