---
title: "AMAN RAJORIA - Product Analyst in New Delhi | Tal"
description: "Meet AMAN RAJORIA, Product Analyst @Slice | Product | Growth | Analytics based in New Delhi. AI stack includes claude code, claude, and cursor."
image: "https://tal.club/meet/aman-rajoria/share-image"
---

# AMAN RAJORIA on Tal

## Headline

Product Analyst @Slice \| Product \| Growth \| Analytics

## About

𝗧𝗟;𝗗𝗥 : 𝗗𝗮𝘁𝗮 & 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 enthusiast with experience in 𝗳𝗶𝗻𝘁𝗲𝗰𝗵 𝗮𝗻𝗱 𝗲\-𝗰𝗼𝗺𝗺𝗲𝗿𝗰𝗲 analytics, skilled in big data handling, 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗱𝗮𝘁𝗮 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀, and statistical analysis\. Graduated from 𝗜𝗜𝗧 𝗗𝗲𝗹𝗵𝗶 with electives in 𝗘𝗻𝘁𝗿𝗲𝗽𝗿𝗲𝗻𝗲𝘂𝗿𝘀𝗵𝗶𝗽 & 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻\. Passionate about 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀, product strategy, and emerging AI applications\. I am a data\-driven professional with proven experience in 𝗳𝗶𝗻𝘁𝗲𝗰𝗵 \(payments, collections, loan products\) and 𝗲\-𝗰𝗼𝗺𝗺𝗲𝗿𝗰𝗲 \(user behavior, retention, funnel tracking\)\. I’ve built and managed end\-to\-end data solutions from raw 𝗱𝗮𝘁𝗮 𝗶𝗻𝗴𝗲𝘀𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲 design to advanced analytics and insights that drive business impact\. My work involves big data platforms, 𝗦𝗤𝗟, 𝗣𝘆𝗦𝗽𝗮𝗿𝗸, 𝗣𝘆𝘁𝗵𝗼𝗻, and visualization tools, enabling me to create scalable reporting systems, optimize 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀, and support product & strategy decisions\. Beyond technical execution, I thrive on product\-oriented problem solving, breaking down complexity into measurable outcomes and collaborating across teams\. Academically, I hold a Dual Degree in Chemical 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗳𝗿𝗼𝗺 𝗜𝗜𝗧 𝗗𝗲𝗹𝗵𝗶, where I pursued electives in 𝗘𝗻𝘁𝗿𝗲𝗽𝗿𝗲𝗻𝗲𝘂𝗿𝘀𝗵𝗶𝗽, New Venture Creation, and Financial Markets, combining technical expertise with business acumen\. I’ve also explored 𝘀𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝗮𝗹 𝗺𝗼𝗱𝗲𝗹𝗶𝗻𝗴, 𝗲𝘅𝗽𝗲𝗿𝗶𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻, and forecasting techniques, which I apply in practical problem\-solving\. I am deeply curious about 𝗔𝗜/𝗠𝗟 and actively explore how these technologies can reshape product, analytics, and business strategy\. My long\-term vision is to grow at the intersection of data, product, and AI\-driven decision\-making, contributing to 𝗼𝗿𝗴𝗮𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀 𝘁𝗵𝗮𝘁 𝘃𝗮𝗹𝘂𝗲 𝗶𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 and evidence\-based execution\. 𝗖𝗼𝗿𝗲 𝗦𝗸𝗶𝗹𝗹𝘀: 𝗗𝗮𝘁𝗮 & 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀: SQL, Python, PySpark, Data Pipelines, Big Data Handling, Statistical Analysis 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 & 𝗣𝗿𝗼𝗱𝘂𝗰𝘁: Product Analytics, Funnel Optimization, Retention Analysis, Experimentation/A/B Testing 𝗗𝗼𝗺𝗮𝗶𝗻: Fintech \(Payments, Collections, Lending\), E\-commerce \(User Behavior, Growth\) 𝗜𝗻𝘁𝗲𝗿𝗲𝘀𝘁𝘀: AI/ML Applications, Product Strategy, Scalable Systems

## Location

New Delhi

## AI stack

claude code

claude

cursor

## Work experience

Product Analyst at slice, Nov 2025 \- Present · 11 mos

Analyst Intern at slice, Jun 2025 \- Oct 2025 · 5 mos, • Architected geo\-tagged anomaly\-detection fraud dashboard, accelerating scam detection by 25% and cutting false positives by 15% • Built ETL pipeline for payments API, deduplicating/storing Delta Lake, reducing mismatch by 30% and processing over 1M rows/ day • Delivered 10\+ RCAs & fixes, prevented data issues pre\-impact, partnered with Ops to stabilize FWD rates, cut bucket slippages by 8% • Automated settlement reporting integrating recovery data, improving accuracy by 23% and reducing turnaround by 15\+ hrs/week

Product Management Intern at SarvM\.AI, Feb 2025 \- Apr 2025 · 3 mos, New Delhi, Delhi, India, 📉 Reduced user 𝗱𝗿𝗼𝗽\-𝗼𝗳𝗳 𝗯𝘆 𝟭𝟱% through funnel analysis and insights, resolving pain points, and implementing 𝗿𝗲𝘁𝗲𝗻𝘁𝗶𝗼𝗻 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗲𝘀 to boost engagement and user satisfaction levels 📈 Boosted acquisition 𝗥𝗢𝗜 𝗯𝘆 𝟮𝟬% by analyzing marketing channels, optimizing resources, and driving user\-centric feature development for 𝗺𝗲𝗮𝘀𝘂𝗿𝗮𝗯𝗹𝗲 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗼𝘂𝘁𝗰𝗼𝗺𝗲𝘀 globally 🚀 Led product lifecycle by managing sprints, defining features, conducting 𝘁𝗲𝘀𝘁𝗶𝗻𝗴, and launching solutions with 𝗰𝗿𝗼𝘀𝘀\-𝗳𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝗮𝗹 𝗰𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻 efforts to connect retailers & consumers

Founders Office Intern at Finaure, Dec 2024 \- Feb 2025 · 3 mos, New Delhi, Delhi, India, 📱 Designed 𝘂𝘀𝗲𝗿\-𝗰𝗲𝗻𝘁𝗿𝗶𝗰 𝗮𝗽𝗽 screens by creating detailed user scenarios, conducting usability research, and optimizing usability for a significantly 𝗲𝗻𝗵𝗮𝗻𝗰𝗲𝗱 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 and 𝗲𝗻𝗴𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗿𝗮𝘁𝗲𝘀 🤖 Developed an 𝗔𝗜\-𝗱𝗿𝗶𝘃𝗲𝗻 𝗺𝗼𝗱𝗲𝗹 for user engagement and retention by identifying 𝗸𝗲𝘆 𝗺𝗲𝘁𝗿𝗶𝗰𝘀, analyzing behaviour, and building effective 𝗴𝗿𝗼𝘄𝘁𝗵 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 strategies through data\-driven insights 💰 Created 𝗳𝗶𝗻𝗮𝗻𝗰𝗶𝗮𝗹 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝗶𝗼𝗻𝘀 and revenue models by analyzing market gaps, assessing competitor benchmarks, and proposing comprehensive 𝗕𝟮𝗖 𝗮𝗻𝗱 𝗕𝟮𝗕 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗲𝘀 for sustainable product growth

Summer Research Intern at Washington University in St\. Louis, May 2023 \- Jul 2023 · 3 mos, St\. Louis County, Missouri, United States, 𝗠𝗶𝘁𝗶𝗴𝗮𝘁𝗶𝗻𝗴 𝗖𝗮𝗿𝗯𝗼𝗻 𝗠𝗼𝗻𝗼𝘅𝗶𝗱𝗲 𝗣𝗼𝗶𝘀𝗼𝗻𝗶𝗻𝗴 𝗶𝗻 𝗘𝗹𝗲𝗰𝘁𝗿𝗼𝗰𝗵𝗲𝗺𝗶𝗰𝗮𝗹 𝗛𝘆𝗱𝗿𝗼𝗴𝗲𝗻 𝗣𝘂𝗺𝗽 ⚡ Engineered advanced 𝗰𝗮𝘁𝗮𝗹𝘆𝘀𝘁 𝗺𝗼𝗱𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 for EHPs, incorporating Ru, RTO, and NTO, 𝘆𝗶𝗲𝗹𝗱𝗶𝗻𝗴 𝟰𝟬% CO tolerance boost with enhanced durability metrics 🧪 Synthesized catalyst inks, improving stability and 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗯𝘆 𝟮𝟱% over standards, optimizing reaction efficiency for long\-term operation 📊 Quantified 𝗘𝗖𝗦𝗔 𝗼𝗳 𝟵\.𝟳𝟵𝟳 𝗰𝗺² and diffusion coefficients of 𝟮\.𝟳𝟵 𝘅 𝟭𝟬𝟱 𝗰𝗺²/𝘀𝗲𝗰 for Pt/NTo, improving catalyst efficiency analysis and predictive modeling accuracy 🔬 Performed 𝗞𝗼𝘂𝘁𝗲𝗰𝗸𝘆\-𝗟𝗲𝘃𝗶𝗰𝗵 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀 to determine rate constants and performance variations for advanced 𝗘𝗛𝗣 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 🏅 𝘚𝘦𝘤𝘶𝘳𝘦𝘥 𝘢 𝘤𝘰𝘷𝘦𝘵𝘦𝘥 𝘴𝘱𝘰𝘵 𝘪𝘯 𝘵𝘩𝘦 𝘩𝘪𝘨𝘩𝘭𝘺 𝘴𝘦𝘭𝘦𝘤𝘵𝘪𝘷𝘦 𝘢𝘯𝘥 𝘤𝘰𝘮𝘱𝘦𝘵𝘪𝘵𝘪𝘷𝘦 𝗠𝗜𝗦𝗥𝗜 𝗣𝗿𝗼𝗴𝗿𝗮𝗺, 𝘢𝘵𝘵𝘳𝘢𝘤𝘵𝘪𝘯𝘨 𝘵𝘰𝘱 𝘪𝘯𝘵𝘦𝘳𝘯𝘢𝘵𝘪𝘰𝘯𝘢𝘭 𝘢𝘱𝘱𝘭𝘪𝘤𝘢𝘯𝘵𝘴 𝘵𝘩𝘳𝘰𝘶𝘨𝘩 𝘳𝘦𝘴𝘦𝘢𝘳𝘤𝘩 𝘦𝘹𝘤𝘦𝘭𝘭𝘦𝘯𝘤𝘦

Junior Editor at IIT Tech Ambit, Jan 2022 \- Dec 2022 · 1 yr, New Delhi, Delhi, India

## Education

B\.Tech \+ M\.Tech \(Integrated\), Chemical Engineering, Indian Institute of Technology, Delhi

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

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