---
title: "Nitish Agrawal - Lead Product Manager in Mumbai | Tal"
description: "Meet Nitish Agrawal, Lead Product at smallcase B2B Platform based in Mumbai. AI stack includes antigravity, codex, and cursor."
image: "https://tal.club/meet/nitish-agrawal/share-image"
---

# Nitish Agrawal on Tal

## Headline

Lead Product at smallcase B2B Platform

## About

Product leader with 11 years of experience building and scaling financial and consumer products for mass\-market Indian consumers\. Led multiple 0→1 and growth\-stage initiatives across payments, wealth\-tech, embedded finance, and consumer platforms, with deep ownership across product strategy, execution, analytics, and cross\-functional leadership\.

## Location

Mumbai

## AI stack

antigravity

codex

cursor

## Work experience

Lead Product Manager at smallcase, Oct 2025 \- Present · 11 mos, Mumbai, Maharashtra, India, Leading product strategy and execution for smallcase Gateway, an embedded investing platform powering wealth experiences for fintech partners\.

Senior Product Manager, DreamMoney at Dream11, Jul 2023 \- Oct 2025 · 2 yrs 4 mos, Mumbai, Maharashtra, India, Led cross\-functional execution across product, engineering, analytics, design, compliance, and business teams for multiple high\-scale fintech and payments initiatives\.

Product Manager, DreamX at Dream11, Jul 2022 \- Jun 2023 · 1 yr, Mumbai, Maharashtra, India

Senior Manager at DreamPay, Jul 2021 \- Aug 2022 · 1 yr 2 mos, Mumbai, Maharashtra, India

Business Analytics Manager at DreamPay, Aug 2020 \- Jul 2021 · 1 yr, Mumbai, Maharashtra, India

Assistant Manager at Arvind Lifestyle Brands Limited, Sep 2018 \- Aug 2020 · 2 yrs, Bengaluru, Karnataka, India

Strategy Analyst at Loylty Rewardz Mngt Pvt Ltd, May 2017 \- Sep 2018 · 1 yr 5 mos, Mumbai Area, India, 1\) Marketing Strategy \- Built regression model to predict propensity of customers to transact in next month which resulted in conversion uplift of 0\.6% 2\) Online Transaction Identification \- Using a combination of XGboost predictive model and string matching algorithm, predicted channel of bank transactions \(online/offline\) with accuracy of 92% and transaction coverage of 98%\. This enabled efficient campaign targeting for online merchants and hence, helped company partner with online merchants 3\) Model tracking and Repository \- Designed a Web2Py framework to track performance of all predictive models across time using generic and model specific KPIs 4\) Self\-Serve Business Intelligence framework \- Built Business Intelligence framework \(using Python\) to be used by business teams for client management and generation of various reports\. Framework reduced the turn around time for report generation by a factor of 20 5\) Twitter Sentiment Analysis \- Using NLTK and Twitter package in python, performed sentiment analysis for one of our retail partners\. This helped merchant understand social media opinion about the brand

## Education

Bachelor of Technology \(B\.Tech\.\), Computer Science, National Institute of Technology , Patna

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

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