---
title: "Anakha N - Data Analysis Intern in Chennai | Tal"
description: "Meet Anakha N, Aspiring Data Analyst | MSc Applied Data Science | Purpose-Driven & Growth-Focused based in Chennai."
image: "https://tal.club/meet/anakha/share-image"
---

# Anakha N on Tal

## Headline

Aspiring Data Analyst \| MSc Applied Data Science \| Purpose\-Driven &amp; Growth\-Focused

## About

I’m an MSc Applied Data Science student with practical experience in Python, SQL, and Power BI\. I enjoy transforming raw data into clear, meaningful insights through EDA, feature engineering, predictive modeling, and business dashboards\. My recent work includes building end\-to\-end analytics solutions—cleaning datasets, developing ML models, and creating interactive Power BI dashboards\. Technical Stack: \-Data Analysis: Python, Pandas, NumPy, EDA, Data Cleaning \-Machine Learning: Scikit\-learn, Classification, Regression, Model Evaluation, Feature Engineering \-Databases: MySQL \-Visualization: Tableau, Power BI, Matplotlib, Seaborn \-Programming: Python \-Tools: Power BI, Excel, GitHub What sets me apart is my curiosity and drive to turn raw data into clear, meaningful insights\. I’m now looking for opportunities to apply my skills in real\-world analytics and grow with a team that values learning, innovation, and data\-driven decision making\.

## Location

Chennai

## Work experience

Data Analysis Intern at Cognifyz Technologies, May 2025 \- Jun 2025 · 2 mos, Remote, Worked on a real\-world restaurant analytics dataset to uncover business insights using Python and data visualization\. Performed end\-to\-end exploratory analysis, identified trends in cuisines, pricing, city distribution, delivery availability, ratings, and customer sentiment\. Built interactive visualizations and maps, evaluated restaurant chains, and analyzed relationships between ratings, votes, sentiment, and services offered\. Key Contributions: • Cleaned and analyzed a structured 9,500\+ record restaurant dataset • Identified top cuisines, high\-activity cities, and pricing segments • Explored restaurant ratings, popularity \(votes\), and delivery/booking options • Mapped restaurant locations using Plotly &amp; Folium • Derived sentiment insights using rating text • Provided business\-oriented recommendations for customer engagement

## Education

Master of Science \- MS, Applied Data Science, SRM Institute of Science and Technology \(SRMIST\)

Statistics, University of calicut

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

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