Adarsh Dumrewal

AI SaaS platform for therapists

• Defined end-to-end user journey (Aha → Activation → Habit) to identify trial behavior, retention signals, and churn drivers; pinpointed key funnel hotspots impacting conversion.
• Analyzed pricing plan selection, upgrades, and downgrades to assess willingness to pay and forecasted potential revenue impact of alternative pricing strategies.
• Led analytics across product and marketing, especially organic acquisition and content performance, to identify high-ROI growth opportunities.
• Built dashboards and analytical frameworks to enhance leadership visibility into user behavior, feature adoption, and revenue levers.
• Insights directly informed product prioritization and improved feature discovery, contributing to early signs of churn reduction.

E-healthcare platform

• Heading Pharmacy Analytics, leading a team while driving projects across search optimization, personalization, supply-demand strategy, and new business initiatives.
• Improved search relevance by optimizing ElasticSearch inputs and LTR re-ranking models (judgment lists, weights, query corpus), increasing Search CTR by 4pp and NDCG by 3pp.
• Developed SKU substitution strategy to identify demand and supply opportunities, enhancing coverage.
• Led analytics for Quick Commerce (Gurgaon), performing performance tracking and financial modeling for growth vs profitability, achieving ~2× conversion improvement and expanded coverage.
• Built user-level personalization for VAS and offers based on behavioral traits and purchase history, increasing margins by ~2% with no conversion loss.
• Developed retention risk models and decision frameworks to support product prioritization and leadership decision-making.

Short-video commerce platform enabling influencer-driven product discovery

• Consulted on recommendation systems, then expanded role to drive product and data strategy for consumer app launch.
• Designed and implemented user personalization across key surfaces (For You feed, Explore, Similar Products, and core discovery journeys).
• Analyzed user cohorts, behavior patterns, and content performance to enhance CTR, conversion rates, and user retention.
• Worked with product leadership on roadmap decisions around content discovery, ranking logic, and user engagement strategies.
• Shaped content experience and personalization strategy during early growth phase, influencing user engagement and platform development.

E-commerce platform

• Led analytics for Live Video Commerce initiative, scaling from 0→1 to 1→10 by enabling data-driven product decisions and enhancing performance tracking across platform.
• Designed and deployed a personalization ranking model for live video recommendations using user activity signals, creator insights, cosine similarity, and weighted scoring, driving ~30% conversion improvement over six months.
• Identified user journey drop-offs through funnel analysis and user research, sizing opportunities to prioritize interventions and improving retention by ~10% through targeted product changes.
• Automated recurring analytical workflows and built decision-support models, enabling faster experimentation and freeing team bandwidth for strategic problem-solving.
• Contributed to acquisition and traffic growth initiatives, fostering team development and enhancing cross-functional collaboration.

E-commerce platform

• Executed personalized marketing campaigns across WhatsApp and push notifications based on user behavior signals, boosting conversion rates.
• Led cross-functional initiatives to optimize deals page curation and ranking, enhancing user experience and increasing seller visibility.