May 2024 – Jun 2025 · 1 yr 1 mo · Gurugram, Haryana, India · On-site

• Designed and launched the Reverse Stock Transfer Order (RSTO) system to reduce dead inventory, free shelf space, and salvage damaged stock - built picklist logic, discrepancy visibility, and skill-based execution.
• Rolled out a dynamic task assignment engine - prioritized picking, putaway, and RSTO tasks based on surge, availability, and skill mapping.
• Built the Crate Pendency Dashboard to track filled, empty, and missing crates - improved reverse logistics and crate turnaround.
• Integrated with One Support for Admin ticketing - enabled skill-based task routing, SLA tracking, and internal audit trails.
• Created a consignment scheduling and visibility system - aligned manpower planning with warehouse arrival variability.
• Redesigned FnV Executive Home on StoreOps app - surfaced daily tasks, KPIs, and alerts to improve task adherence.
• Implemented auto-triggered FnV audits (expiry, quality) using dynamic SKU logic - improved early detection and stock actionability.
• Introduced Priority Crates flow - fast-tracked critical SKUs during putaway, reducing high-velocity item processing time by 20%.

Jan 2023 – Apr 2024 · 1 yr 3 mos · Bengaluru, Karnataka, India

• Spearheaded product strategy, planning, and development for the Seller experience on JioMart.
• Led the development of the Billing, Invoicing, and Payments module, optimizing financial operations.
• Led the development of comprehensive SX solutions including Seller/Brand Onboarding and Advertiser Account & User Management.

Feb 2021 – Jan 2023 · 1 yr 11 mos · Gurugram, Haryana, India

• Led the product team for CARS24 Indonesia (cars24.co.id) and built the portfolio of consumer-facing and internal products from scratch. Managed product strategy, UI/UX research, and product hiring.
• Led the product for BIKES24 (bikes24.com) - A platform to buy and sell pre-owned bikes
• Managed a team of product managers to build the user journeys - discovery, consideration, checkout, fulfillment, and post-booking.
• Led the integration with LeadSquared Sales CRM which automated multiple sales processes and increased sales velocity.
• Built a hybrid Recommendation Engine to serve relevant bike recommendations on sections across the platform. Collaborated with the data science team to build an automated pricing engine and dynamic pricing system

Apr 2020 – Feb 2021 · 10 mos · Gurugram, Haryana, India

• Leveraged Big Data technologies to build data products for the Airtel Home platform. Led a team of data engineers to build the Payment Pendency files, Customer 360 views, and Reconciliation systems.
• Built data products for the Airtel Work platform which enabled the omnichannel lead acquisition. Designed and built ETL pipelines for workforce analytics and business reports.

Apr 2019 – Apr 2020 · 1 yr · Mumbai Metropolitan Region

• Dynamic Pricing infrastructure based on Reinforcement Learning (RL)
• Implemented Q-Learning, a model-free RL algorithm
• Dynamically setting and reducing prices of 500+ inventory listings
• Higher margin and 30% reduction in inventory holdup period achieved
• Higher stock performance and lesser no. of price revisions required for sale
• Built TruePrice: A data-driven pricing engine for used cars
• Achieved an accuracy of 94% across all car models and variants
• Integrated in all the systems and processes from car inspection to sale - Assisted the teams in procuring and listing used cars at fair prices

May 2018 – Apr 2019 · 11 mos · Mumbai Metropolitan Region

• Stock Management App
• Gathered business requirements, managed a team of five engineers and led them in the development of interface & backend systems
• Collaborated with stakeholders and ensured successful product rollout and implementation
• Procurement Score
• Developed a scoring model to compute the optimum initial listing margin to maximize margin while achieving the target stock performance.

May 2017 – Jul 2017 · 2 mos · Mumbai Metropolitan Region

• Developed a core product feature TruePrice (pricing engine for used cars) using machine learning techniques which achieved an accuracy of 93% across all car models and variants, allowing the company to procure and list used cars at fair prices.
• Developed an automated deep analytics dashboard using Google Analytics Core Reporting API for visualization of weekly conversion rates and funnels to track user progression.
• Received a certificate endorsing unparalleled enthusiasm for solving problems and quick learning abilities.

May 2016 – Jul 2016 · 2 mos · Melbourne, Australia

• Identified the causes of an in-house compressible flow simulation code HiPSTAR showing stability issues and fixed them.
• Received a letter from the Chair of Computational Mechanics commending high self-motivation and diligence.

Jun 2015 – Jul 2015 · 1 mo · Delft, South Holland, Netherlands

• Applied mimetic spectral element method to solve Poisson equation over multiple elements on curvilinear grids in MATLAB.
• Received a letter of recommendation from the supervisor appreciating the proactive nature and quick pace of work.