---
title: "Ugmesh Sirvi - Lead Analyst in Bengaluru | Tal"
description: "Meet Ugmesh Sirvi, Analytics @ Groww AMC | Groww | Ex-Meesho | IIT Roorkee | SQL | Python based in Bengaluru. AI stack includes anthropic apis, claude code, and codex."
image: "https://tal.club/meet/ugmesh-sirvi/share-image"
---

# Ugmesh Sirvi on Tal

## Headline

Analytics @ Groww AMC \| Groww \| Ex\-Meesho \| IIT Roorkee \| SQL \| Python

## About

As the Lead Analyst steering data infrastructure at Groww Mutual Fund, I specialize in adeptly managing fund management tools, operational efficiency tools, and automation processes\. Proficient in the Python frameworks and business intelligence dashboards, my expertise lies in optimising operations and contributing strategically\. Skills: Python, Sql, Ms Excel,Big Query

## Location

Bengaluru

## AI stack

anthropic apis

claude code

codex

gemini

github copilot

openai

## Work experience

Lead Analyst at Groww Mutual Fund, Feb 2024 \- Present · 2 yrs 7 mos, 📊 Leading Analytics: Spearheading strategic analytics initiatives to enhance data\-driven decision\-making across the AMC\. 🤖 Automation Expertise: Building automated and resilient modules for Order Management in index funds, driving operational efficiency and reliability\. 📈 AMC Analytics Leadership: Driving insights and performance analytics across fund performance, and sales analytics\. 🧠 Quant Modelling: Developing advanced quantitative modelling capabilities for active fund management, empowering fund managers with data\-backed research tools\. ⚙️ Quant Infrastructure & Custom Strategies: Building quant infrastructure that enables research\-driven and customised portfolio strategies, bridging systematic methods with active management\.

Senior Analyst at Groww Mutual Fund, May 2023 \- Feb 2024 · 10 mos, Groww AMC \* Led the design and implementation of robust end\-to\-end data pipelines and key dashboard frameworks for Groww Asset Management \(AMC\), enabling real\-time visibility into fund performance, tracking, and operational metrics to support executive decision\-making\. \* Played a critical role in the development and enhancement of Spear Tech, the proprietary Order Management System \(OMS\) for fund management, significantly reducing tracking errors for passive funds and ETFs, thereby improving portfolio accuracy and investor confidence\. \* Led the automation of critical operational workflows by optimising processes and integrating with existing internal systems, significantly enhancing operational efficiency and substantially reducing error rates\. \* Supported product strategy and go\-to\-market planning for the next fund launch by conducting in\-depth market research, competitor analysis, and performance benchmarking to identify key opportunities and inform decision\-making\.

Senior Business Analyst at Groww, India, Jul 2021 \- Apr 2023 · 1 yr 10 mos, Bengaluru, Karnataka, India, Analytics \(User Experience & Central Analytics\) Retention Analytics Personalisation \* Designed and executed search A/B experiments to optimise user discovery funnels, improving search relevance and driving higher conversion rates across key user segments\. \* Led personalisation analytics focused on first order conversion, leveraging behavioural segmentation and targeted recommendations to significantly boost new user activation\. \* Created and managed comprehensive, end\-to\-end product\-level MIS dashboards, providing centralised real\-time insights into user behaviour, conversion metrics, retention, and revenue performance for all product verticals\. \* Analysed revenue and retention data within a dedicated analytics pod, using cohort and funnel analyses to identify churn risks and growth opportunities tied to first order conversion\. \* Collaborated closely with product, growth, and engineering stakeholders to translate analytical insights from experimentation and personalisation into actionable business strategies\.

Business Analyst at Groww, India, Sep 2019 \- Jun 2021 · 1 yr 10 mos, Banglore, Analytics \(Product & Growth & Business\) in Mutual Fund team\. \* Cohort & SIP Analysis: Conducted in\-depth cohort studies on customer investing journeys \(signup → onboarding → first investment\), and analysed SIP performance, cancellations, and order rejections to drive retention and reduce friction\. \* Dashboards & Reporting: Built and automated sales dashboards and AMC reports, tracked onboarding metrics, AUM calculations, and operational KPIs \(order rejections, customer rejections, breach monitoring\) to ensure transparency and efficiency\. \* User & Growth Analytics: Tracked user behavior for mutual fund investors and cross\-sell journeys \(MF → stocks\), delivered insights for AOP planning, and supported integrations \(e\.g\., payments\) to improve user acquisition and conversion\. \* Operations & Issue Resolution: Monitored order allocation, failure patterns, and process gaps \(e\.g\., stuck/cancelled transactions\) and collaborated with ops teams to implement corrective actions\. \* New Product Analytics: Supported analytics for gold and US stock products, covering onboarding, funding, portfolio tracking, and growth metrics\. \* Customer Experience: Analysed CS queries, NPS trends, and product feedback to identify improvement areas and enhance overall customer experience\.

Product Analyst at Meesho, Jan 2019 \- Aug 2019 · 8 mos, Bengaluru, Karnataka, India, \* Produced insightful reports on campaign performance \(conversion rates, retention trends\) to guide marketing plans\. \* Monitored and analysed KPIs such as CAC, CTR, and engagement metrics, enabling data\-driven evaluation of campaign success\. \* Applied data modeling techniques and built Excel/Google Sheets dashboards to track key product and marketing metrics\. \* Collaborated with the development team to define technical requirements and create product documentation, ensuring alignment with business goals\.

Data Analyst Internship at Meesho, Sep 2018 \- Dec 2018 · 4 mos, Bengaluru Area, India, \* Conducted A/B testing on app features and researched customer needs, improving user experience and retention strategies\. \* Led a tiering project using feature ranking and optimised catalog filtering with a predictor engine for personalised offerings\. \* Analysed KPIs across product categories and investigated review image upload patterns, providing insights for performance improvement\. \* Extracted and processed data with PostgreSQL to enable efficient analysis\.

## Education

Integrated M\.Sc\. Applied Mathematics, Mathematics, Indian Institute of Technology, Roorkee

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

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