With 5+ years of experience in Product & Growth Analytics, I specialize in transforming raw data into actionable business insight I have worked extensively on funnel analysis, cohort retention tracking, A/B experimentation, and KPI optimization across SaaS and enterprise platforms. My focus is on identifying growth bottlenecks, improving user activation and retention, and translating product problems into measurable, data-driven decisions that impact revenue and customer experience.
Product & Growth Analyst with 5+ years of experience in SaaS, funnel optimization, experimentation, and data-driven product strategy.
Acoustic,AI-powered marketing automation and customer engagement solutions.It offers tools for analytics and campaign automation,helping businesses improve their marketing effectiveness.
Rwazi,A hyper-local market intelligence platform that provides brands with actionable data on who is buying what, for how much, from where, when, and why and real time actionable data.
Solera uses AI, data, and services to work streamlining processes for your vehicle claims and repair, vehicle sales, and fleet management.
Loconav uses AI,full-stack comprehensive & IoT enabled, Fleet Operations Management Ecosystem. Track, monitor, control, and manage everything you need to keep your fleet operations moving safely and efficiently.
IndiaMART is India's largest online B2B marketplace, connecting buyers with suppliers. With 60% market share of the online B2B Classified space in India,focuses on providing a platform to SMEs.
Grade: First class distinction.
Grade: First class distinction.
Driving measurable improvements in activation, retention, and revenue through structured analytics and experimentation.
Events Analyzed
End-to-End Conversion Rate Tracked
Cart β Purchase Optimization Insight
Product & Growth Analyst
Selected projects demonstrating AI systems, advanced analytics, and production-ready engineering.
Built an ML-driven revenue forecasting dashboard enabling forward-looking growth planning for ecommerce businesses. Applied walk-forward validation with Random Forest and XGBoost models (MAPE: 12.38%) to generate reliable revenue projections with uncertainty bands.
Analyzed 66M+ ecommerce events to uncover funnel bottlenecks, retention patterns, and high-LTV customer segments. Performed cohort analysis, conversion tracking, and revenue optimization modeling using SQL (DuckDB) and Python. Identified drop-off points across View β Cart β Purchase stages, enabling data-driven recommendations to improve overall conversion and customer lifetime value.
Designed and deployed a data-driven personal portfolio integrating live AI capabilities to showcase product analytics and growth case studies. Focused on structured KPI storytelling, intuitive user experience, and clear project communication aligned with product and growth roles. Demonstrates end-to-end ownership from design to deployment using GitHub Pages.
Built an AI-powered Retrieval-Augmented Generation (RAG) system integrated into a live portfolio to dynamically answer product and experience-related queries. Designed structured knowledge ingestion, semantic search, and context retrieval pipelines to simulate real-world product intelligence systems. Demonstrates applied understanding of data modeling, information retrieval, and AI-driven user experience enhancement.
Designed an automated media processing pipeline using FastAPI and FFmpeg to orchestrate multi-step audio merging and video generation workflows. Implemented structured file handling, background processing, and scalable task execution to simulate production-ready system design. Demonstrates backend automation, workflow optimization, and deployment-ready application architecture.
Below are the details to reach out to me!
Pune, India