---
title: "Adithi Sreenath - Data Analyst Intern in Bengaluru | Tal"
description: "Meet Adithi Sreenath, Data Analyst | Business Analytics & KPI Design | SQL, Python, BI Dashboards based in Bengaluru."
image: "https://tal.club/meet/adithi/share-image"
---

# Adithi Sreenath on Tal

## Headline

Data Analyst \| Business Analytics &amp; KPI Design \| SQL, Python, BI Dashboards

## About

I’m a final\-year Information Science student focused on turning structured data into actionable business insight\. My interests lie in performance analytics, profitability evaluation, and decision\-support systems\. I work with transactional and operational datasets to identify revenue drivers, diagnose margin variability, and benchmark performance across business dimensions such as geography, product, and time\. Technically, I work with Python, SQL, Excel, and Power BI, applying statistical reasoning, KPI engineering, and dimensional modeling to ensure analysis is both accurate and decision\-ready\. I’m particularly interested in building analytical frameworks that go beyond surface\-level reporting and help organizations understand why performance changes\. I’m seeking data analyst roles where analytical rigor, business thinking, and clear communication come together to drive measurable impact\.

## Location

Bengaluru

## Work experience

Data Analyst Intern at Rooman Technologies, Feb 2026 \- May 2026 · 4 mos, Bengaluru, Karnataka, India, \- Conducted exploratory data analysis \(EDA\) to identify behavioral patterns, anomalies, and actionable insights from structured financial datasets\. \- Engineered domain\-relevant behavioral KPIs to transform raw transactional attributes into interpretable analytical features for decision\-making\. \- Applied data preprocessing techniques including outlier handling, feature scaling, skewness correction, and missing value treatment to improve analytical robustness\. \- Utilized unsupervised machine learning and statistical validation techniques to identify meaningful behavioral segments within customer data\. \- Developed insight\-driven visualizations and analytical summaries to communicate customer behavior patterns and support business\-focused recommendations\. \- Translated analytical findings into strategy\-oriented insights related to customer engagement, retention, and risk behavior\. \- Worked with Python libraries including Pandas, NumPy, Scikit\-learn, Matplotlib, and Seaborn to build end\-to\-end analytical workflows and data\-driven reports\.

## Education

Information science and engineering, Visvesvaraya Technological University

[View the original profile](https://tal.club/meet/adithi)

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