---
title: "Neel Raut - Director - Product and Operations in Mumbai | Tal"
description: "Meet Neel Raut, Product & Operations | AI-Driven Systems | Analytics & Growth based in Mumbai. AI stack includes antigravity, codex, and cursor."
image: "https://tal.club/meet/neel-raut/share-image"
---

# Neel Raut on Tal

## Headline

Product & Operations \| AI\-Driven Systems \| Analytics & Growth

## About

I am an aspiring Product Manager with a background in business analytics, data science, and technical program management\. I enjoy combining analytical insights with product strategy to deliver solutions that enhance user experience and drive measurable business outcomes\. At Angel One, I contributed to launching high\-impact features such as a proprietary chatbot\. I also worked on personalization initiatives that boosted engagement and implemented an ML\-powered response engine that automated customer support queries\. Previously, I gained experience as a Data Analyst and Data Scientist, where I streamlined workflows to cut reporting time by 80%, partnered with 30\+ clients to deliver actionable insights, and built a recommendation engine with 95% precision that improved product matching by 20%\. With an MSc in Business Analytics from Queen Mary University of London, I bring a strong foundation in product roadmapping, A/B testing, and strategy\. I am passionate about creating user\-centric products and growing into product leadership roles\. I’m always open to discussing product strategy, analytics, and innovation—let’s connect\!

## Location

Mumbai

## AI stack

antigravity

codex

cursor

## Work experience

Director \- Product and Operations at QuitSure \| No\#1 quit smoking app, Dec 2025 \- Present · 9 mos, India

Technical Program Manager \| Data Platforms at Angel One, Jan 2024 \- Dec 2025 · 2 yrs, Mumbai, Maharashtra, India, As a Technical Program Manager, I contribute to product and program initiatives that improve customer experience, streamline processes, and support business growth\. My work spans cross\-functional collaboration with engineering, product, and design teams to deliver user\-centric solutions\. \-Supported the rollout of new digital tools and features, focusing on improving customer engagement and efficiency\. \-Collaborated with data science and analytics teams to introduce personalization initiatives and optimize user journeys\. \-Contributed to process improvements that enhanced automation and reduced manual dependencies\. \-Assisted in initiatives around compliance and security to maintain trust and regulatory alignment\. \-Participated in roadmap discussions, leveraging analytics and user feedback to help prioritize features and track performance\.

Data Analyst at ETFGI, Feb 2023 \- Aug 2023 · 7 mos, Greater London, England, United Kingdom, ◦ Managed the company's database, including adding new products, calculating assets worth $10 trillion, and determining inflows\. Implemented necessary changes to ensure data accuracy and integrity\. ◦ Conducted quantitative and qualitative analysis of ETFs/ETPs, generating 20\+ scheduled reports to provide insights and recommendations to stakeholders\. ◦ Conducted thorough research analysis, collecting and cleaning unstructured data to extract meaningful insights for reporting purposes\. ◦ Produced monthly press releases, effectively communicating key findings and market trends for clients and stakeholders\. ◦ Assisted clients with ad\-hoc data queries, providing timely and accurate information to support their decision\-making processes\. ◦ Leveraged Python for web scraping, resulting in an 80% reduction in time required to complete certain tasks, improving overall efficiency\.

Data Scientist at Yuty, Jun 2022 \- Sep 2022 · 4 mos, Greater London, England, United Kingdom, ◦ Implemented a recommendation system employing advanced machine learning techniques, resulting in a 20% increase in customer product matching accuracy\. ◦ Utilized 8 distinct data files \(CSV and JSON\) to assist clients in achieving their customer\-matching objectives\. ◦ Developed a robust metric evaluation framework, enabling the assessment of recommendation system accuracy with a precision rate of 95%\. ◦ Prepared a detailed and well\-structured report documenting all implemented steps and methodologies\.

Consultant at Queen Mary University of London, Feb 2022 \- Mar 2022 · 2 mos, Greater London, England, United Kingdom, ◦ Collaborated closely with professors to deploy solar cell technology in global markets\. ◦ Crafted a strategic commercial roadmap for the successful implementation of the technology\. ◦ Conducted extensive market research to identify potential applications and opportunities for the technology\. ◦ Conducted thorough competitor analysis to identify and understand competing technologies within the sector\.

## Education

Msc in Business Analytics, Queen Mary University of London

Diploma, AI Product Management, Airtribe

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

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