---
title: "Sangam Prasanna - Data Science Intern in Hyderabad | Tal"
description: "Meet Sangam Prasanna, Computer Science (Data Science) Graduate | Data Analytics • ML • Python • SQL | Building Data-Driven Solutions based in Hyderabad."
image: "https://tal.club/meet/sangam-2/share-image"
---

# Sangam Prasanna on Tal

## Headline

Computer Science \(Data Science\) Graduate \| Data Analytics • ML • Python • SQL \| Building Data\-Driven Solutions

## About

Hello\! I'm Sangam Prasanna, an enthusiastic developer with a strong foundation in computer science and a deep interest in data\. I completed my graduation from St\. Mary’s Engineering College, Hyderabad, specializing in Data Science\. My journey in tech began right from my first year of BTech\. I started with UI/UX, which later evolved into a passion for front\-end development\. By my second year, I joined an internship, built several websites\-including my personal portfolio\-and even developed a service website for my own small business\. My curiosity for turning raw data into meaningful insights led me to dive into Python and automation\. I loved how automation simplified workflows, and that pushed me to gain hands\-on expertise with Python and its libraries\. Why data science? Because data is powerful—it helps us recognize patterns, solve problems, and build tools that make life easier\. My goal is to work in a top MNC as a Data Scientist or Software Developer, where I can build scalable, impactful solutions driven by data\.

## Location

Hyderabad

## Work experience

Data Science Intern at Ai Variant, Jan 2026 \- Apr 2026 · 4 mos, • Analyzed 2\+ years of bike\-sharing rental data using Python \(Pandas, NumPy\) to uncover seasonal demand patterns and peak utilization windows, directly informing fleet allocation strategy\. • Automated Power BI dashboard tracking 10\+ KPIs \(utilization rate, revenue per slot, churn indicators\), enabling stakeholder self\-service and reducing ad\-hoc reporting requests by 40%\. • Built a rental demand forecasting model using Scikit\-learn \(Random Forest\), achieving 88% accuracy on holdout data; presented findings to stakeholders to support operational planning decisions\. • Executed SQL\-based data validation and transformation across 50K\+ records, identifying and resolving data quality issues that improved model training consistency and reliability\. • Automated monthly reporting workflows using Python and Excel macros, consolidating multi\-source data into executive\-ready summaries and reducing manual reporting effort by 3 hours/week\.

Marketing Intern at The Smarketers, Mar 2025 \- Aug 2025 · 6 mos, Hyderabad, Telangana, India

Frontend Developer at Ajax, Mar 2022 \- Jul 2022 · 5 mos, India

## Education

Bachelor of Technology \- BTech, Data Science, St\.Mary's Engineering College

Intermediate, MPC, Bhavan's Sri Aurobindo Junior College

[View the original profile](https://tal.club/meet/sangam-2)

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