---
title: "Anurag Meher - AVP Data in Bengaluru | Tal"
description: "Meet Anurag Meher, Data and AI leader | Head of Data @Snabbit | ex-CRED, Swiggy, Uber, Amex | IIT Kanpur based in Bengaluru. AI stack includes anthropic apis, claude code, and claude."
image: "https://tal.club/meet/anurag-meher/share-image"
---

# Anurag Meher on Tal

## Headline

Data and AI leader \| Head of Data @Snabbit \| ex\-CRED, Swiggy, Uber, Amex \| IIT Kanpur

## About

I help high\-growth platforms scale smarter — by transforming complex data, advanced ML and GenAI into product strategy and profitability\. Product Data Science leader with 12 years of experience\. Currently at Snabbit, I built and lead the data org and tech stack from scratch — scaling daily jobs by 30x at half the burn per order\. Prior to this, at CRED, I led the product data science practice for a 15\-member team across variety of lending products and central growth — influencing \~₹100Cr in savings and shaping major C\-suite capital allocation through Analytics, Causal Experimentation, A/B testing, and ML\-based attribution frameworks\. Before Snabbit and CRED, I spent years shaping product analytics across Gaming, Food Tech, and Ride\-Sharing, delivering high\-stakes data science solutions for major consumer tech platforms \(Dream11, Swiggy, Uber\) and banking \(American Express\) — spanning real\-time demand\-supply pricing, unit economics optimization, driver churn models, and large\-scale NLP brand mapping\. Throughout, I've built and mentored high\-performing data science organizations, advised C\-level stakeholders and pioneered the adoption of GenAI \(Claude\) and modern data stacks \(Databricks, Kafka\) to make complex product analytics completely self\-serve\. I am always looking forward to interesting discussions around GenAI, ML and analytics impact and data team hiring and retention — let's connect\!

## Location

Bengaluru

## AI stack

anthropic apis

claude code

claude

gemini

github copilot

langchain

## Work experience

AVP Data at Snabbit, Jan 2026 \- Present · 8 mos, Bengaluru, Karnataka, India, Spearheaded Sales & Operations Planning \(S&OP\) for the organization, partnering closely with Supply and Growth leaders to optimize the allocation of experts across nano markets\. Developed foundational forecasting models for daily jobs, supply hours, and utilization, forming the analytical backbone of marketplace operations\. Served as the chief designer for expert rate cards, structuring performance\-linked payouts to deliberately balance profitability, mitigate churn, and incentivize optimal platform behavior\. Drove GenAI adoption by building master\-view tables for self\-serve analytics \(via Claude\) and deployed geo\-spatial models alongside real\-time demand\-supply pricing engines\. Impact: Strategic initiatives scaled daily jobs 30x, secured market leadership, and slashed cash burn per order by 50%\.

Senior Director Data at Snabbit, Aug 2025 \- Dec 2025 · 5 mos, Bengaluru, Karnataka, India, Built the Data organization from scratch, successfully hiring and scaling a 12\-member cross\-functional team spanning Data Science, Analytics, and Data Engineering\. Architected and established the end\-to\-end foundational data stack utilizing Databricks, Mixpanel, CleverTap, and Tableau\. Designed the core P&L and metric frameworks for the organization, officially positioning the Data team as a key strategic partner for executive decision\-making\.

Product Analytics Leader at CRED, Aug 2022 \- Aug 2025 · 3 yrs 1 mo, Bengaluru, Karnataka, India, 1\- Directed a 15\-member Data Science organization overseeing User Growth, Payments, Personal Loans, BNPL, and Credit Cards\. 2\- Architected and scaled a causal experimentation and last\-touch attribution framework, establishing direct mathematical links between user engagement behaviors and monetization to drive AOP planning\. 3\- Defined the Personal Loan share\-of\-wallet strategy \(pricing, limits, cross\-sell\) and shaped Credit Card/BNPL whitelisting policies by engineering alternate data signals for affluence and risk\. 4\- Acted as a core strategic partner to the CEO, CPO, and CTO, delivering executive insights that shaped major product bets and investment decisions\. Impact: Strategic interventions saved \~100 Cr in annual cashback and increased Personal Loan disbursals by 1\.5x at a 30 bps lower NPA\.

Senior Manager Analytics at Dream11, Jun 2021 \- Jun 2022 · 1 yr 1 mo, Mumbai, Maharashtra, India, 1\- Directed an 8\-member analytics team specializing in customer acquisition, marketing attribution, promotion sciences, and the D0\-D28 new\-user journey\. 2\- Spearheaded the end\-to\-end Hindi app localization strategy, governing hypothesis creation, experiment design, instrumentation, and causal inference analysis\. 3\- Architected a precise last\-touch deposit attribution model and engineered tailored promotion treatments to optimize the critical first 28 days of the user lifecycle\. 4\-Partnered closely with Data Engineering to overhaul Looker resource utilization and streamline core database performance\. Impact: Delivered 8\.5M new depositors during IPL'22 \(\+5% vs\. historical\), boosted D28 retention by 15%, and slashed DB runtime by 98%\.

Analytics Manager at Swiggy, Dec 2019 \- Jun 2021 · 1 yr 7 mos, Greater Bengaluru Area, 1\- Led a 12\-member Data Science and Analytics team driving revenue strategy, growth pricing, gamification, and restaurant discounting\. 2\- Developed the "Bill Shock Score," an XGBoost classification model predicting cart conversion probability at an 81% AUC\. 3\- Engineered distance\-based discounting models to optimize delivery radii, fundamentally improving delivery economics and reducing bad orders\. 4\- Designed and deployed a post\-order slot\-machine gamification engine targeted at driving growth and modifying user behavior\. Impact: Strategic initiatives delivered an increase of 50k Orders Per Day \(OPD\) and \+7 in Unit Economics \(UE\)\. Recognized as a top 5%ile performer, earning a rapid 11\-month promotion from LBA to Manager\.

Business Analyst at Uber, Jul 2018 \- Dec 2019 · 1 yr 6 mos, Gurgaon, Haryana, India, 1\- Led end\-to\-end Supply \(Driver\) analytics for the Uber India marketplace, owning strategic initiatives across driver incentives, earnings and churn management\. 2\- Developed a Net Earnings model to evaluate driver profitability, enabling targeted interventions and compensation adjustments for below\-margin cohorts\. 3\- Analyzed complex driver incentive structures \(DxGy, MBGs, fare multipliers\) to design and deploy optimized, city\-specific payout frameworks\. Impact: Strategic structural changes reduced driver churn by 50% in targeted cohorts and successfully flipped profit\-per\-trip from \-10% to \+5%\.

## Education

B\.Tech \- M\.Tech Dual degree Mechanical Engineering, Mechanical Engineering, INDIAN INSTITUTE OF TECHNOLOGY KANPUR

High School, DAV CHANDRASEKHARPUR

[View the original profile](https://tal.club/meet/anurag-meher)

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