Headline

Product Manager: Consumer Tech, Marketplaces, E-commerce | Ex - Lenskart, Meesho | NIT Trichy

About

Hi! I'm Pranava, a Product Manager who likes building products where software meets the real world: consumer apps at scale, physical stores, devices, and the people using them on the ground. Most recently I drove product for the Store Visitor charter at Lenskart: eye tests across 2,200+ stores. Before that, I was an APM at Meesho working on the product feed for 200M+ users. My favorite project there tackled product quality on the feed: catalog-level quality signals were too noisy and missed systemically bad sellers, so I rebuilt filtering at the granular seller and category levels; lifting retention by 0.6% (~₹100 Cr) and cutting returns. I started my career in data as a Data & AI Consultant at Thorogood, building BI platforms for Fortune 500 CPG clients. SQL, Python, dashboards, that's still the foundation I build products on. Earlier stints at AppX (YC-backed), Impact Consulting, and 180 Degrees Consulting gave me my first exposure to user research, PMF, and building from zero. Currently exploring my next role; ideally at the intersection of consumer scale and real-world operations. Happy to connect at pranava.nitt@gmail.com!

Location

Bengaluru

AI stack

claude code

claude

gemini

notion

openai

Work experience

Product Manager at Lenskart.com, Nov 2025 - Jun 2026 · 7 mo, Bengaluru, Karnataka, India, Drove product for the Store Visitor charter (In-store) with a 25-member pod of devs & designers, serving 2,200+ stores across India, UAE, SA, and Thailand. - Built and launched the end-to-end kids' eye-test system covering child-appropriate test flows, protocols & store ops, opening the under-16 segment. - Cut virtual eye-test failures by 35% (from 1.6 video calls per completed test down to 1.1) via on-ground RCAs at stores & the remote optometry center; fixing UX misuse patterns and building resilient reconnection flows and reduced customer wait times and freed optometrist capacity. - Increased eye-test throughput by 10% through revamped optometrist assignment algorithm, improving optometrist utilization across the network. - Scaled Bifrost, a device-data (IoT) integration capturing prescriptions digitally from Auto-Refractors and Lensometers, removing manual entry errors.

Associate Product Manager at Meesho, Jun 2024 - Nov 2025 · 1 yr 6 mos, Bengaluru, Karnataka, India, Worked on the product feed and catalog quality for 200M+ MAU at the intersection of user experience, supply quality, and marketplace health. - Improved retention by 0.6% (+₹100 Cr) and reduced returns by rebuilding catalog quality filtering at granular seller x category level to catch systemically poor sellers that catalog-level signals missed. - Shipped 5 features and 20+ experiments end-to-end with tech, data science, and business teams. - Owned 10+ key metrics and automated 15+ dashboards with real-time alerts, enabling faster decisions and RCAs. - Awarded 'Star Team of the Quarter' twice by the CXO - Business for KPI outperformance ('User 1st' & 'Extreme Ownership').

Consultant | Data & AI at Thorogood, Jul 2023 - Jun 2024 · 1 yr, Bengaluru, Karnataka, India, Built data platforms and BI solutions for Fortune 500 CPG clients. - Led development of an end-to-end data migration solution for a multinational FMCG client, moving reporting from Nielsen Local to Nielsen Discover across 130+ global markets. - Acted as Product Owner for the solution, driving requirements, prioritization and adoption with the client's internal teams. - Designed and deployed 10+ automated data pipelines on Azure (Data Factory, Databricks), automating extraction from 70+ datasets (1M+ rows) and cutting processing time by 30%. - Delivered 10+ Power BI dashboards used by client leadership for data-backed decisions.

Product | Founder's Office at Livvy.App, Feb 2023 - Apr 2023 · 3 mos, - Led MVP development for the early-stage web platform, working cross-functionally from concept to launch. - Designed and iterated 5+ core UI/UX flows, improving navigation and engagement by around 30% based on user testing. - Analyzed 10+ competitors on pricing, positioning and user pain points, feeding directly into product and GTM decisions.

Project Manager at Fractal, Jun 2022 - Aug 2022 · 3 mos, - Proposed and promoted localized development environments, anticipating an x% reduction in infrastructure costs, aligning with broader cost-optimization goals. - Authored a comprehensive setup manual, streamlining onboarding and reducing ramp-up time for new and existing team members by ensuring clear, accessible documentation.

Education

Bachelor of Technology - BTech, Production/Industrial Engineering, National Institute of Technology, Tiruchirappalli