May 2025 – Dec 2025 · 7 mos · Gurugram, Haryana, India · On-site

• Built & scaled Car Insurance MVP from 0 policies to 110+ policies (3Cr+ GMV/Month) daily run rate via Park+ in 3 months
• Designed product schema comprising of User, Vehicle, Quote, Proposal, Payment, Policy, Event Log and shipped microservices eligibility, pricing, quote-aggregator, proposal, payment, policy, notification.
• Designed API contracts (/quotes/search, /proposals, /payments/init|webhook, /policies/issue) with idempotency keys, OAuth2 service auth, and HMAC webhooks.
• Engineered a reliable partner integration layer] with telemetry & SLAs, added events in funnel journey to drive UX fixes and reduced defects by 18%
• Implemented segmented CRM flows addressing funnel drop-offs and launched a renewal content page for users in T-45 days window, improving renewal intent and Conversion.
• Fuel recharge repeat rate was stagnating: improved 30 day and 45 day repeat rates by 27%.
• Shipped “Fuel Friday” growth program feature giving extra discounts to certain cohort of customers for increasing repeat and create a habit loop, wired APIs into checkout and CRM journeys and achieved uplift in repeat by 27%.
• Revenue Leakage and Cashback Abuse: Identified and implemented AI rule engine to reduce losses by 63%.
• Trained an Isolation Forest on recharge/redemption features (velocity, geo-hop distance, device/UPI entropy, merchant patterns), deployed as a real-time scoring service in the checkout path with latency <100ms.
• Implemented AI rules engine: Layered configurable business rules on top of model scores; routed “review/deny/allow” via queues + case console, with thresholds behind feature flags for safe rollouts.
• Business impact: Proactively flagged 21K+ fraudulent users at <0.7% false positives, cutting losses by 63% closed the loop with, A/B tests, and weekly ops feedback to continuously tune thresholds and station blacklists.

Apr 2023 – May 2025 · 2 yrs 1 mo · Bangalore Urban, Karnataka, India · Hybrid

• Facilitated E2E product lifecycle for e-commerce platform, achieved
• ARR of $200M, serving 250k MAU
• Enhanced conversion rates by 24%, adding $120K/month increase
• in revenue through the refinement of user journeys on desktop and
• mobile web.
• Implemented AI-driven personalization and upsell strategies,
• increasing AOV by 12%
• Led the growth team to double upsell rates by enhancing product
• findability and selection.
• Built micro-UI for smart Digital Asset Management, serving 300k+
• assets, slashed infrastructure costs by 70%
• Reduced website loading SLA by 10% & merchandising SLA by 25%
• by image optimization & dynamic rendering

May 2022 – Apr 2023 · 11 mos · Bengaluru, Karnataka, India

• ▪ Designed the product roadmap of self-digitization by user to reduce the only prescription-based orders
• ▪ Reduced Operations TAT and increased fulfilment by 10% and 20% respectively after self-digitization rollout
• ▪ Conceptualized and built product roadmaps for auto deduction & refund modules for aggregator businesses
• ▪ Successfully applied Agile best practices to transition Order Management System from Order level to SKU level
• ▪ Enhanced UX & increased user retention by 25% by implementing New Order Tracking feature in web & app
• ▪ Achieved 20% increase in fulfilment rate by implementing API integration with multiple pharmacy partners
• ▪ Reduced Partner Fulfilment TAT by 14 hours, boosted Customer Order Visibility, & minimized support tickets
• ▪ Strategized & exercised Status Workflow for Operations; achieved decrease in Operations TAT by 20 hours
• ▪ Contributed to 15% of overall revenue by modelling and implementing dynamic prescriptions for corporates
• ▪ Experienced in converting insights and ideas to relevant PRD’s and SDD’s and execute with precision
• ▪ Used A/B and Multivariate methods to test features and hypothesis for order tracking feature within app

Apr 2020 – Apr 2022 · 2 yrs · Youtube

• Earn Big Trading is an initiative to educate people regarding the real life trading scenarios and help them gain some insights on technical analysis.
• 1. Intraday Trading Indicator development
• 2. Technical Analysis of Stock Charts and level prediction based on Fibonacci, Gann's law and other visualization techniques
• 3. Fundamental Analysis of Company's position for long term Investment

Jul 2019 – May 2022 · 2 yrs 10 mos · Mumbai, Maharashtra, India

• 2+ years experience in Market Research products and operations. Taking brief from Researcher and planning Analytics and product development, Guiding teams on KPI metrics, and Timelines. liaising with Research and client on data trends. delivering good quality data driven solutions.

Jan 2019 – Jun 2019 · 5 mos · Mumbai, Maharashtra, India

• ◆ Opportunity Assessment of a Banking Operation
• ◆ Robotics and Process Automation
• ◆ Designing solutions for automation

May 2018 – Jan 2019 · 8 mos · Chandigarh Area, India

• Uber is a technology company that is changing the way the world thinks about transportation. We are building technology people use every day. Whether it's heading home from work, getting a meal delivered from a favorite restaurant, or a way to earn extra income, Uber is becoming part of the fabric of daily life. We're making cities safer, smarter, and more connected. And we're doing it at a global scale energizing local economies and bringing opportunity to millions of people around the world.
• MY DAY TO DAY WORK LIST INCLUDES:-
• Improve processes on behalf of Uber experts and partners.
• Actively contribute to the GL program through independent and team based project work.
• Convincing and converting the potential partners walking to the centre to partner with Uber
• Delivering high quality on-boarding experience to new driver-partners joining the Uber platform identify best practices and ensuring city/hub wide adoption
• People Management: effectively support and motivate the fellow team. Lead team members to
• achieve performance goals
• Data Analysis: understand operational data from your city to identify areas of opportunity
• Adaptability: perform in a constantly changing environment. Make swift decisions and pivot
• processes when necessary

May 2017 – Jul 2017 · 2 mos · Jabalpur, Madhya Pradesh, India

• A project on Railway budget and monitoring on how the budget is allocated and implemented in such a vast corporation. What all improvements can be done in making a more precise budget and what all audit paras are included to make sure the budget is set on right parameters and implemented correctly

Apr 2017 – Jun 2017 · 2 mos · Greater Hyderabad Area

• The Google Online Marketing Challenge is a unique opportunity for students to experience and create online marketing campaigns using Google AdWords. I worked as a Team Lead, contributing in the Keyword Research and On-Page, Off-Page optimisations, running adwords, making Campaigns targeting the correct audience and generate the organic traffic through display network.

Feb 2016 – Apr 2016 · 2 mos · Hyderabad

• Working as a Marketing Intern for Bookmeds which is a pharmaceutical based startup. It delivers Medicines online to the customers and has a tie up with many pharmacies all over india. My work is to publicise/marketise BOOKMEDS so that company the becames more popular among the comman people in india and thus they get full value for the money they spent on hiring me.

Oct 2015 – Apr 2016 · 6 mos

• My responsibility is to publicize aha-taxis and search for the appropriate partners for the company.