From running city-level growth at Uber to fixing margin leaks at Coca‑Cola, I've spent the last few years turning ambiguous, on-the-ground problems into measurable outcomes across mobility, FMCG, and enterprise tech. I like the parts of the job that don't show up in a deck: driver payouts, union negotiations, a dashboard nobody's using yet.
Over the past 4+ years, I've been fortunate to work across operations, engineering, and product teams, and have:
I graduated from IIM Bangalore in March 2026 — where I sharpened my product and strategy instincts as Senior Coordinator of SIGMA, the Product Management Club — and joined Uber in April 2026 as a Business Operations Manager, back where a lot of this journey started.
| Dates | Where | Summary |
|---|---|---|
| 2026–Now | 🚗 Uber | Led city-level growth and supply operations across 10 cities in South & East India — cut onboarding CAC by 30% and grew BWE first trips 1.4x through targeted supply and demand interventions. |
| 2025 | 🥤 Coca‑Cola (HCCB) | Designed a sales-based margin strategy across 120+ stores, saving ₹1.5 Cr; built a market research dashboard adopted by 500+ general trade stores. |
| 2021–2024 | 💻 IBM | Supervised 25+ product releases across 5 launches (100% NPS); automated testing saving $650K+, and trained IBM Watsonx AI models on 15M+ customer records. |
| 2023 | 📊 NextLeap / ProductHood | Completed a hands-on Product Management fellowship — teardown frameworks, user-journey mapping, and PRD writing (see Case Studies below). |
| Dates | Where | Summary |
|---|---|---|
| 2024–2026 | 🎓 IIM Bangalore | MBA — Senior Coordinator, SIGMA (Product Management Club); led case-prep sessions for 600+ students. |
| 2016–2020 | 🎓 Andhra University | B.Tech, Computer Science & Systems Engineering. |
Delivering trips, not just plans
Supported market expansion across multiple cities by improving supply readiness, onboarding flows, and city-by-city execution discipline.
Designed and coordinated below-the-line campaigns across transit hubs to acquire high-intent riders and improve conversion to first trips.
Teardowns and journey maps from my PM fellowship
Market-entry strategy for bringing ragi-based blended bread into Switzerland, built around nutrition gaps and value-chain design.
Switzerland's bread market is developed but limited to wheat and rye, with no functional option for the 19% of the population aged 65+ who need bone-health, glycaemic-control, and fibre benefits — a real nutrition gap rather than a taste preference.
Worked the cost down to ₹77 (~CHF 0.68) per 500g loaf against a competitive target price of CHF 3.8–4.2 — an entry point with healthy distributor margins.
Teardown of Spotify’s recommendation logic, user discovery flows, and AI/ML-driven personalization experience.
How does Spotify decide what to play next, and what is it actually optimizing for?
Click-through rate → songs saved to playlists → average time spent listening to recommended music as the North Star.
Metrics tree breaking revenue into subscriber and pricing levers, mapped to the product outcomes that move each branch.
Treats revenue as a function of two levers:
Revenue = (Monthly Avg Subscription Fee) × (# Subscribers)
Pricing tiers, referral discounts, exclusive regional content, and service-provider partnerships — each tied to the specific branch of the tree it would move.
Mapped persona-driven discovery, selection, viewing, and retention stages for a weekend binge-watching user.
Alok Sharma — a 28-year-old product designer who binge-watches on weekends and wants recommendations he can trust.
Awareness → Discover → Signup → Plan Selection → Purchase → Onboarding → actually watching a show.
Both show up as a dip in the emotion curve right before purchase.
Concept app for payments, bills, refunds, and monthly money clarity — designed to reduce financial noise.
A persona drowning in scattered UPI apps and bank alerts — the problem isn't missing features, it's financial noise.
One calm, precise view of payments, bills, and refunds, built on Self-Determination Theory and Octalysis game-design principles.
Deliberately not empty streaks or forced transactions — rewards only follow genuine behavior change.