---
title: "S A. - Machine learning Intern in Hyderabad | Tal"
description: "Meet S A., Data Analyst | Python, SQL, Pandas, Data Visualization | AI & Data Science Postgraduate | Turning data into actionable insights based in Hyderabad. AI stack includes antigravity and claude."
image: "https://tal.club/meet/s-a-1/share-image"
---

# S A\. on Tal

## Headline

Data Analyst \| Python, SQL, Pandas, Data Visualization \| AI & Data Science Postgraduate \| Turning data into actionable insights

## About

I'm an AI & Data Science postgraduate \(M\.Tech, Mahindra University\) with a strong foundation in turning raw data into clear, actionable insights\. I work hands\-on with Python \(Pandas, NumPy\) and SQL to clean, explore, and analyze large datasets, and use Matplotlib and Seaborn to visualize patterns that support decision\-making\. During my ML internship, I built end\-to\-end data pipelines \- from cleaning and exploratory analysis to modeling \- to predict air quality from environmental data\. Across my academic projects I've handled datasets of 40,000\+ records, performing feature analysis, statistical evaluation, and building models reaching 97%\+ accuracy\. I'm focused on data analytics roles where I can combine analytical skills with business understanding to help teams make data\-driven decisions\. Currently expanding my toolkit with Power BI and advanced Excel\. 📩 Open to Data Analyst opportunities \- amruthasamudrala45@gmail\.com

## Location

Hyderabad

## AI stack

antigravity

claude

## Work experience

Machine learning Intern at Dhyanahitha Organization, May 2022 \- Jul 2022 · 3 mos, Hyderabad, \- Analyzed 10,000\+ environmental records covering pollutants \(CO, NOx, NO2, O3\) and weather metrics to identify key drivers of air quality variations\. \- Performed end\-to\-end data analysis including data cleaning, handling missing values, outlier detection, and exploratory data analysis \(EDA\) using Python \(Pandas, NumPy\)\. \- Created interactive visualizations and dashboards using Matplotlib and Seaborn to communicate pollution trends and seasonal patterns to stakeholders\. \- Built a predictive regression model to forecast Air Quality Index \(AQI\), enabling data\-driven recommendations for environmental monitoring\. \- Documented insights and presented findings highlighting correlations between pollutants and AQI, supporting public health decision\-making\.

## Education

Master of Technology \- MTech, Artificial Intelligence and Data Science, Mahindra University

Bachelor of Technology \- BTech, Computer Science, GITAM Deemed University

[View the original profile](https://tal.club/meet/s-a-1)

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