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Adarsh Dumrewal

@adarshdumrewal

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Product analytics and data strategist turning user behavior into experiments, pricing, and growth decisions.

India

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What I'm looking for

I’m looking for a product analytics/data role with real ownership—building decision-ready metrics, running rigorous experiments, and using automation to turn user behavior into growth, profitability, and healthier retention.

I’m an analytics and data professional with 5+ years of experience across E-commerce, Healthcare, SaaS, and AI products. I work across user understanding, data analysis, modeling, experimentation, and decision-making, with my strongest impact in Product Analytics, Funnel/Cohort analysis, Churn and Retention, Personalization, Search relevance, Pricing, Revenue modeling, and Workflow Automation.

Most recently, at Mentalyc, I helped leadership see product health and revenue movement by building the core analytics view across activation, subscriptions, retention, churn, and pricing. I used SQL-led analysis plus ML-assisted segmentation to improve feature discovery (46% to 57%) and reduce churn (5% to 4%) across ~3,500 subscribers, and I automated CS ticket and churn survey analysis with an AppScript alerting framework. Previously at Tata 1mg and Meesho, I led revenue/growth modeling, improved search relevance (CTR +4pp, NDCG +3pp), increased margins (e.g., ~₹60L/month with near-zero conversion loss), and grew conversion (4% to 5.5%) and retention (+10%) through experimentation and lifecycle analytics.

Experience

Work history, roles, and key accomplishments

Current

Independent Product Project

Current

Safe Space

Apr 2026 - Present (4 months)

Building an AI-enabled personal web product for planning, learning, parenting, health guidance, emotional check-ins, and reflective assistance. Developed an end-to-end first version and is working on guided flows, content-led discovery, and early SEO foundations using modern web tooling.

Product Development User Journeys Deployment OpenAI GA4 Supabase Vercel GitHub SEO Content Discovery

Product & Data Strategist

Mentalyc

Sep 2025 - Mar 2026 (6 months)

Helped diagnose why the AI SaaS was not scaling by analyzing activation, feature discovery, churn, pricing, user behavior, and monetization. Built core product-health and revenue analytics, improved feature discovery via A/B testing, and automated churn/CS ticket analysis with alerting.

Product Analytics Feature Discovery Pricing Analytics Monetization SQL A B Testing Personas Mixpanel Workflow Automation

Lead Product Analyst

Tata 1mg

Oct 2023 - Aug 2025 (1 year 10 months)

Led product analytics for pharmacy Quick Commerce, focusing on search relevance, personalization, and profitability. Built growth and revenue models, improved search ranking and CTR/NDCG, delivered personalization and SKU substitution models to increase margin, and led a team of analysts.

Search Relevance CTR Personalization VAS Personalization Lifecycle Analytics Margin Subscription Analytics Experimentation A B Reverse A B Team Leadership

Part-time Analytics Consultant

Wishlink

Sep 2023 - Mar 2025 (1 year 6 months)

Provided part-time analytics guidance for a short-video commerce app during early app launch. Designed initial personalization logic for recommendation surfaces and documented assumptions and implementation flow for later engineering handoff.

Recommendations User Behavior Analysis Similarity Signals Documentation Model Logic and Assumptions

Lead Business Analyst

Meesho

Mar 2022 - Sep 2023 (1 year 6 months)

Worked on Meesho Live Commerce analytics from early launch to scale-up, spanning problem discovery, user research, personalization, experimentation, and reporting. Built analytics foundation (funnels, experiment tracking, dashboards), developed personalization logic, and improved conversion and retention with experimentation.

Funnel Analysis Dashboarding User Research Personalization A B Testing Reverse A B Retention Analysis

Business Analyst

Wmall / Shopdeck

Apr 2021 - Feb 2022 (10 months)

Supported early growth and product analytics across merchandising, ranking, campaign targeting, and conversion improvement. Improved Deals page ranking and built behavioral targeting campaigns using WhatsApp and push notifications, while supporting RCA on user drop-offs.

Product Analytics Merchandising Analytics Targeting Funnel Analysis Behavioral Targeting Push Notifications