Headline

Product Manager - (Data & AI) | BestBuy | Ex- Uber | SQL l Python l Dashboards | Machine Learning | AI | Data Science | Business & Product Analytics | Automation | Funnel Analytics | BI | Ex-VITian

About

With 7.5+ years of experience driving growth and efficiency across online grocery, retail, edtech, and hospitality. I specialize in process automation, KPI tracking, and growth analytics—turning raw data into measurable business impact.At Uber (Ext.), I partnered with cross-functional teams to automate 20+ reporting processes, saving hundreds of analyst hours monthly, and built a funnel tracking system for 27+ brands that improved visibility into customer acquisition and conversion. Previously at Nestaway, I led full-funnel marketing and operations analytics, enabling leaders to make faster, data-driven decisions that improved campaign ROI and streamlined operations.I bring a strong toolkit in SQL, Python, BI platforms, and Agile practices, paired with stakeholder management and cross-team leadership. My edge lies in blending technical depth with business strategy—delivering insights that don’t just inform, but accelerate market share growth, reduce costs, and enhance customer experience.Passionate about transforming data into measurable business outcomes, I thrive in roles that balance technical acumen with strategic impact.

Location

Bengaluru

AI stack

claude code

cursor

gemini

github copilot

Figma Make

Microsoft Copilot

Work experience

Data And AI Product Manager - Associate at Best Buy™ India, Jan 2026 - Present · 10 mo, Bengaluru, Karnataka, India, - Spearheaded the product roadmap for an enterprise behavioral intelligence platform processing 50+ million daily events, enabling real-time personalization and GenAI applications through unified event pipelines. - Orchestrated cross-platform release trains across Web and React Native, achieving 100% tracking coverage to successfully eliminate data blind spots throughout critical e-commerce funnels. - Pioneered an Agentic AI-driven product comparison experience that evaluates real-time specifications, generating confidence-scored recommendations projected to drive a ~12% uplift in user engagement. - Architected deterministic user-journey stitching across core e-commerce attributes (from PLP through Post-Purchase), delivering high-fidelity context retrieval to safely ground downstream RAG and conversational AI systems. - Engineered an automated Data Quality and Observability platform that reduced manual validation efforts by 50% and prevented critical production defects, ensuring the integrity of downstream ML training sets. - Standardized multi-cell A/B testing metadata frameworks and feature-flag telemetry, successfully eliminating attribution noise to establish robust metric guardrails for major product rollouts and model evaluations. - Directed a comprehensive overhaul of the enterprise data contract platform—managing over 300 active contracts—to streamline analytics management and cut manual overhead by 40%. - Championed cross-functional alignment across Product, Engineering, and Data Science, driving automation-first workflows that eliminated redundant validations and saved over 300 operational hours annually.

Senior Analyst - Retail (QuickCommerce) at Uber, Sep 2023 - Jan 2026 · 2 yrs 5 mos, Benguluru, - Researched and analyzed business operations to identify inefficiencies and emerging trends, and implemented automation for 20+ processes, saving more than 60 manual man-hours/month for the team and delivering actionable insights. - Developed & automated a funnel tracking dashboard of 45+ KPIs across the storefront, demand, and operations, providing daily, weekly, and monthly insights for 27+ brands. - Integrated Jira for daily updates, improved project tracking, validation, time management, and reduced issue resolution time by 12%. - Designed and deployed scalable data pipelines using Python & Flask for data product development and executive reporting, conducted clustering, classification models, and A/B testing that improved SOF conversion by 13%. - Proactively focused and managed issues, risks, dependencies, and escalations using Agile/Scrum methodologies. - Built a dashboard leveraging web scraping and NLP models (LSTM, NER) to consolidate and analyze competitor insights. Automated tagging for 1,000+ competitor stores/month using logic based on explicit naming, Google search, and historical data. Reduced manual work by 20+ hours/month and improved tagging accuracy by 35%, and was able to address missing cases of cuisine by 80%. - To address limited visibility into lost sales, an integrated analysis of Found Rate, mC/R, Online Rate, and GB Impact has been implemented, which resulted in a 100% improvement in root cause visibility. - Implemented data pipelines & used Python for data mining, executive reporting, clustering, classification-based models, and performed comprehensive hypothesis testing to guide features such as SOF and promotions. - Successfully led cross-functional initiative and collaborated closely with cross-functional teams (like Product, Data Science, Operations, Business, etc) to gather feature requirements and define success metrics. - Managed a team of 3 analysts, providing guidance to overcome blockers and ensuring on-time delivery.

Senior Business Analyst - Growth & Marketing at Nestaway, May 2022 - Aug 2023 · 1 yr 4 mos, Bengaluru, Karnataka, India, 1. Accountable for end-to-end tracking of all business metrics to identify the pain points as well as to understand different cohort performance. Eg:- SAV to Booking Ratio, Traffic to SAV ratio, impression to views ratio. 2. Established the complete full funnel Dashboard in the supply and demand sides of Marketing which top leaders use for brand awareness, lead conversion, and product engagements. 3. Communicated product vision, roadmap, and releases to the Marketing, Operation and Leadership teams. 4. Carried out a comparative study between the company's product & the market trends and proposed areas of improvement in some product features. 5. Collaborated with the Data Engineering team to optimize query runtime by adding crucial indexes and removing redundant columns, resulting in a ~95% improvement. 6. Collaborated closely with Cross-Functional teams including UI/UX Designers, Marketing, Product, Tech, and Engineering to develop Business Requirement Documents(BRD) and statistical models using machine learning methods to make data-driven decisions. 7. Developed end-to-end tracking for all Real Estate Portals and a few product features using, a customer-centric approach to identify pain points and improve the online journey for our users. This helped identify several areas where users were experiencing friction in the platform experience. Improving the SAV flow conversion by ~10% and reducing CAC by ~5%.

Project Team Lead - Growth Ops at Vedantu, Mar 2019 - May 2022 · 3 yrs 3 mos, Bangalore, 1. Created, managed, and automated dashboards for monthly business metrics/workflow, to facilitate detailed analysis and project prioritization. 2. Defining Key metrics and dimensions to measure the performance with the help of several Data Visualization tools like Google Data Studio, Power BI, etc. 3. Collaborated with Cross-Functional Teams like Analytics, Retention, Marketing & Product which was aimed at improving data sharing, cross-functional tasks, and overall effectiveness in achieving organizational goals. 4. Responsible for Process improvement, smooth coordination, and effective management. 5. Successfully supervised a team in every blocker as well as challenges. 6. Executed the role of gangplank in times of emergencies

Senior Event Manager at Vellore Institute of Technology, Dec 2018 - Feb 2019 · 3 mos, Vellore, Tamil Nadu, India, - Worked closely with Digital Marketing Team, Events and Sales Teams. - Slashed the administration costs 20% by negotiating the deals and pricing, while ensuring the continuation and enhancement of services.

Founder at Vellore Institute of Technology, Nov 2018 - Feb 2019 · 4 mos, India, AIKYATAAN(THE TRADITIONAL CLUB):- It is a student-driven initiative founded by us to motivate the individuals from VIT Vellore to portray and enrich the great literature and culture of Bengal.

Education

Master of Technology - MTech, Artificial Intelligence and Machine Learning (WILP - Work Integrated Learning Programme), Birla Institute of Technology and Science, Pilani

Bachelor of Technology, Electrical and Electronics Engineering, Vellore Institute of Technology