---
title: "Upal Gangopadhyay - Assistant Manager - Product Analyst in Bengaluru | Tal"
description: "Meet Upal Gangopadhyay, Product & Analytics Professional | Paytm | Ex Uber | Ex Amazon | SQL • Python • Tableau • Looker | Driving Automation & Efficiency | Data-Driven Problem Solver based in Bengaluru. AI stack includes antigravity, cursor, and opencode."
image: "https://tal.club/meet/upal-gangopadhyay/share-image"
---

# Upal Gangopadhyay on Tal

## Headline

Product & Analytics Professional \| Paytm \| Ex Uber \| Ex Amazon \| SQL • Python • Tableau • Looker \| Driving Automation & Efficiency \| Data\-Driven Problem Solver

## About

I’m a data\-driven product and analytics professional currently working at Uber, where I focus on automation analytics, process optimization, and operational excellence\. My work combines SQL, Python, Tableau, Looker Studio, and JIRA to deliver actionable insights that improve efficiency\. I am currently contributing to a project aimed at reducing ticket resolution time by 60%, where I design dashboards, analyze trends, and collaborate cross\-functionally with engineering, product, and ops teams\. Previously at Amazon, I supported logistics operations with analytics and reporting to identify and resolve inefficiencies in carrier and vendor performance\. I am passionate about leveraging data to solve complex business problems and am actively seeking opportunities in Product Analytics, Data Analytics, or Product Management where I can deliver measurable impact\. Core skills: SQL \| Python \| Tableau \| Looker Studio \| Data Visualization \| Business Analysis \| Stakeholder Management \| Agile \| Process Automation \| JIRA \| Confluence Let’s connect if: You’re hiring for product/data roles, love talking data\-driven decision making, or want to collaborate on solving interesting problems\!

## Location

Bengaluru

## AI stack

antigravity

cursor

opencode

## Work experience

Assistant Manager \- Product Analyst at Paytm, Jun 2026 \- Present · 3 mos, Bengaluru, Karnataka, India

Bugs and Outages Analyst at Uber, Nov 2023 \- Feb 2026 · 2 yrs 4 mos, Bengaluru, Karnataka, India, Worked in customer\-facing, high\-SLA environments, blending operational execution with analytical problem\-solving across large\-scale platforms\. 🗣️ Supported external customers, drivers, vendors, and internal teams directly, ensuring timely resolution under strict SLAs 🔥 Handled escalated operational and platform issues, performing root cause analysis on high\-impact incidents affecting delivery & fulfillment workflows 📈 Analyzed operational and performance data to identify risks, recurring failures, and process gaps across driver and fulfillment systems 🧩 Collaborated with Product, Program Management, and Technical teams to convert operational insights into actionable product and process improvements

Senior Product Support Analyst at Uber, 2023 \- 2026 · 3 yrs, ●​ Led end\-to\-end program management for 10\+ high\-severity incidents — defined resolution charters, coordinated cross\-functional owners, tracked milestones under 24\-hour SLA, and delivered post\-incident RCAs adopted as team\-wide documentation standards\. ●​ Identified systemic friction in ticket routing affecting 1,700\+ cases annually — scoped remediation program, aligned engineering and ops stakeholders, built monitoring framework, and drove compliance tracking saving 800–1,400 hours/year\. ●​ Built Excel\-based performance workbooks and KPI dashboards tracking SLA compliance, escalation rates, and resolution trends across 5 internal platforms — adopted as primary operational reporting by team leads\. ●​ Scoped and delivered ML\-based automation program — defined success KPIs, ran A/B tests, and aligned Product and Data Science on acceptance criteria; analysis drove go/no\-go decisions with senior leadership projecting 80%\+ triage effort reduction\. ●​ Owned technical escalations and performed deep root cause analysis using SQL queries, logs, and system\-level debugging to diagnose complex product and workflow failures\. ●​ Authored SOPs, Troubleshooting Guides, and onboarding documentation for support analysts — improved first\-contact resolution rates and reduced average handling time across 1,000\+ monthly users\. ●​ Mentored Tier 1 analysts as team SME — conducted case audits, identified knowledge gaps, and standardized resolution approaches to improve team performance\.

Transportation Specialist at Amazon, Aug 2021 \- Nov 2023 · 2 yrs 4 mos, Hyderabad, Telangana, India

A4 analyst at Capgemini, Apr 2021 \- Jun 2021 · 3 mos, Bengaluru, Karnataka, India

Subject Matter Expert at NerdyTurtlez\.com, Jan 2021 \- Mar 2021 · 3 mos, India

## Education

Bachelor of Technology \- BTech, Electrical Engineering, RCC Institute of Information Technology

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

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