---
title: "Tata Sai Sampath - Product Management Intern in Hyderabad | Tal"
description: "Meet Tata Sai Sampath, Product Management & Data Analytics | SQL, Python, Power BI, BigQuery | PRDs, KPI Dashboards, User Research & Product Analytics | SaaS & E-commerce based in Hyderabad. AI stack includes gemini, notion, and openai."
image: "https://tal.club/meet/tata-sai-sampath/share-image"
---

# Tata Sai Sampath on Tal

## Headline

Product Management & Data Analytics \| SQL, Python, Power BI, BigQuery \| PRDs, KPI Dashboards, User Research & Product Analytics \| SaaS & E\-commerce

## About

I don't just track metrics, I investigate the story behind them and analyze what's happening and what an make it even better\.\. That mindset sits at the intersection of data analytics and product management\. I combine business intelligence, stakeholder collaboration, and product thinking to turn raw data into decisions that move the needle for users and business outcomes alike\. At Takeit Delivery, I identified a 22% spike in cart abandonment through proactive KPI monitoring, performed root cause analysis to uncover a specific UX friction point in the checkout journey, and translated insights into actionable product recommendations that triggered a cross\-functional product review and sprint\-level discussions\. What I bring to the table: 📊 Data Analytics & BI Queried 100,000\+ records using advanced SQL \(CTEs, window functions\) on BigQuery\. Built Python \(pandas\) ETL pipelines that cut time\-to\-insight by 30%\. Developed automated Power BI dashboards for real\-time KPI monitoring — reducing manual reporting effort by \~40%\. Skilled in data storytelling, ad\-hoc analysis, trend analysis, and metric validation across cross\-functional workflows\. 📋 Product Management & Product Analytics Authored 2 end\-to\-end PRDs with user stories and acceptance criteria, reviewed by engineering teams during Agile sprint planning\. Conducted 12 structured user interviews and synthesized findings into research\-backed insights\. Ran competitive analysis across 5 platforms to support backlog prioritization\. Tracked OKRs and KPIs including conversion rate, cart abandonment, D7 retention, DAU, and listing activation\. I'm especially drawn to SaaS, e\-commerce, and marketplace product environments where product strategy, customer journey mapping, and data\-driven decision\-making converge\. 🎓 B\.Tech in Computer Science Engineering \(2025\) Open to: Data Analyst · Business Analyst · Product Analyst · Associate Product Manager · Business Intelligence roles 📩 saisampath672@gmail\.com

## Location

Hyderabad

## AI stack

gemini

notion

openai

replit

## Work experience

Product Management Intern at Takeit Delivery\(STARTUP\), Oct 2025 \- Jan 2026 · 4 mos, Vizianagaram, \->Proactively identified a 22% spike in cart abandonment through weekly KPI monitoring; traced the root cause to a specific checkout UX friction point and triggered a full product review — without being asked\. \->Authored 2 full PRDs for seller\-side features, translating findings from 12 user interviews into acceptance criteria and sprint inputs; documents reviewed by a 4\-person engineering team during sprint planning\. \->Benchmarked 5 marketplace platforms across onboarding, pricing, and UX; delivered a strategic brief that directly shaped 3 backlog items and reduced competitor research time for the product lead\.

Data Analyst Intern at SaiKet Systems, Apr 2025 \- Jun 2025 · 3 mos, Remote, \-> Queried and analyzed 100,000\+ records in BigQuery using advanced SQL \(CTEs, joins, window functions\) to support data analysis, trend analysis, and business intelligence reporting; engineered Python \(pandas\) ETL pipelines that reduced time\-to\-insight by 30% and accelerated reporting workflows for cross\-functional teams\. \->Built and deployed automated Power BI dashboards for real\-time KPI monitoring, data visualization, and stakeholder reporting, reducing manual reporting effort by \~40% while improving reporting accuracy and operational efficiency\. \-> Designed and validated calculated metrics in Power BI using conditional logic, aggregations, and null handling; ensured data integrity, metric consistency, and alignment with engineering\-defined business rules across production dashboards and analytics workflows\.

## Education

Bachelor of Technology \- BTech, Computer Science and Engineering, Lendi Institute of Engineering and Technology \(LIET\)

Intermediate, MPC, Narayana Junior College \- India

[View the original profile](https://tal.club/meet/tata-sai-sampath)

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