Meesho Live Commerce
+42%+10%
Adarsh Dumrewal · Analytics, Product & Growth
I bring analytics, product judgement, and growth thinking to the same problem.
Across Meesho, Tata 1mg, Mentalyc, Wishlink, and Safe Space, I have moved between analysis, product decisions, and growth execution. I use SQL, Python, experimentation, modelling, and research to understand the problem—then work with teams to decide what to build, change, or test.
At a glanceA concise view of the skills and experience behind the work below.
- Analytics
- SQL · Python · Modelling · Experimentation
- Product
- Discovery · Strategy · Personalisation · Applied AI
- Growth
- Conversion · Retention · Monetisation · New bets
- Team leadership
- Led teams of up to four and built analytics foundations from scratch
Tata 1mg
₹80L/moMargin contribution
about ₹60L from VAS personalisation and ₹20L from substitution redesignTata 1mg Search
+4pp+3
CTR and NDCG
relevance and click-through improvements across roughly 70% of pharmacy queriesMentalyc
46→57%5→4%
Feature usage and early churn movement
early post-change movement across roughly 3,500 subscribers; not yet statistically significantWishlink
7–8→2–3Months in the launch plan
an implementable recommendation framework helped the early team reduce the expected application-launch timelineProfessional experience
Experience across analytics, product, and growth.
My roles have sat at different points across that spectrum. Select a company for the concise view; open the additional details only when you want a closer look at what I worked on.
Independent product builder
Building the product I wanted to exist.
I started with the problem, shaped the product and brand, and built the journeys, AI experiences, content, games, distribution foundations, and the systems needed to keep improving it.CreatorProduct ownershipApplied AI
See more from this role
- Defined the product, audiences, information architecture, and nature-led experience.
- Built AI-assisted planning and companion journeys alongside games, guides, and discovery surfaces.
- Own implementation, deployment, search foundations, feedback loops, and continued iteration.
Leadership in practice
Where I have led teams and owned outcomes.
Some roles asked me to build an analytics foundation; others to guide a team, work directly with company leaders, or carry a decision through implementation. These are the clearest examples.
Built teams and foundations
I joined Meesho Live Commerce as its first analyst, created the early operating and experimentation view, and grew the team to three.
Led people and cross-functional decisions
At Tata 1mg, I led a team of four while working with product and business leaders across search, personalisation, quick commerce, and substitution.
Worked directly with leadership teams
At Mentalyc and Wishlink, I worked closely with company leaders and product teams to reframe unclear questions and turn them into decisions engineering and business teams could act on.
Owned a product end to end
With Safe Space, I have shaped the product, experience, AI workflows, content, distribution foundations, implementation, and continued iteration myself.
Selected work
Selected problems, decisions, and results.
Each case explains the starting problem, the evidence used, the decision made, and the result—without separating the analysis from the product and business context around it.
Meesho
Finding the users who could make a new commerce behaviour work
I joined the Live Commerce team at an early stage as its first analyst. The question was not only whether the format could work in India, but which users would value it and how they would discover the right live content.+42%conversion over six months
+10%retention
What had to change
Conversion was below the main platform even after work on supply, quality, categories, discounts, and live density. Users said relevant categories were missing despite broad category coverage.
What I owned
- Built the analytics foundation from scratch across funnels, experiments, live performance, supply, and automated reporting.
- Used user calls and behavioural analysis to move the discussion from product availability to product discoverability.
- Identified deal-seeking and FOMO-led users as a stronger early fit for the format.
- Prototyped the first user-by-livestream ranking on Redshift with a daily cron and fallback logic, before scaling it with engineering.
What we decided
Move from largely random live-stream exposure toward ranked recommendations based on purchase history, behaviour, category intent, product affinity, and seller relevance.
What moved
The first personalization version produced an approximately 8% experimental uplift. Over six months, the wider Live Commerce programme - spanning discovery, product, supply, and personalization improvements - increased conversion by 42% and retention by about 10%.
The 42% is the programme-level conversion improvement, not an impact attributed to the first model alone.How I work
From a broad question to a decision the team can act on.
I work in loops rather than disappearing into an analysis. Context, structure, evidence, alignment, sizing, and hypotheses each sharpen the next step. The example below follows one real question from Tata 1mg.
Working step01Frame together
The working question
Start with the full context, not the first explanation.
I speak with the people closest to the problem and understand what users, product, business, operations, and technology are each seeing.
Team contextUser journeyBusiness stakes
OutputA shared statement of the problem and the decision ahead
In practice · Tata 1mg generic substitution
At Tata 1mg, the starting question was why users were not choosing lower-priced generic substitutes even when those options were visible.
Range behind the work
What shaped the way I see people, work, and the world.
Family
The first place I learned to listen
Family shaped my sense of responsibility, patience, and the fact that the same situation can look different to different people. It remains an important reference point in how I work with others and how I think about support.
Sport and travel
Movement, discipline, and perspective
Football, sprinting, running, and strength training have stayed with me across different phases of life. Travel and following world events keep me curious about places, people, and contexts beyond my immediate surroundings.
Football100m & 200mRunning & strength
02
UPSC CSEMains
UPSC Civil Services and sociology
Two UPSC CSE Mains appearances
I pursued UPSC CSE to understand polity, economy, society, and the institutions shaping everyday life. I cleared Prelims in both attempts and wrote the 2019 and 2020 Mains, scoring 710 and 715. Sociology—especially family and political institutions—deepened how I understand people, communities, and systems.
Prelims 2/22019 · 7102020 · 715
Engineering and research
Indian Institute of Technology (IIT), Dhanbad
I graduated in 2018 with a B.Tech in Electrical Engineering and a CGPA of 8.6/10. My engineering work also led to co-authored research on how photovoltaic-cell characteristics change with different parameters.
B.TechCGPA 8.6/10Electrical EngineeringClass of 2018
Read the published paper Continue the conversation
If my experience is relevant to a problem you are solving, let's talk.
I am always interested in thoughtful conversations about analytics, product, growth, and building useful things.