---
title: "Neha Khetawat - Data Science Intern in Pune/Pimpri-Chinchwad Area | Tal"
description: "Meet Neha Khetawat, Data Analyst Enthusiast | Python | R | PSPP| Jamovi based in Pune/Pimpri-Chinchwad Area."
image: "https://tal.club/meet/neha-khetawat/share-image"
---

# Neha Khetawat on Tal

## Headline

Data Analyst Enthusiast \| Python \| R \| PSPP\| Jamovi

## Location

Pune/Pimpri\-Chinchwad Area

## Work experience

Data Science Intern at ALGONIVE, Feb 2026 \- Mar 2026 · 2 mos, During my internship at Algonive⁠� as a Data Science Intern, I worked on real\-time data science projects and gained hands\-on experience in data analysis, machine learning, and problem\-solving techniques\. Over the course of the one\-month internship, I successfully completed 120 hours of training, where I developed practical knowledge of Python, data preprocessing, model building, and data visualization\. I collaborated on project\-based tasks, improved my analytical thinking, and strengthened my understanding of core data science concepts in a professional work environment\.

Data Science Intern at Syntecxhub, Jan 2026 \- Feb 2026 · 2 mos, Remote, Completed a one\-month virtual internship focused on Data Science, Data Analysis, and Visualization using Python\. Worked on real\-world datasets and developed practical skills in NumPy, Pandas, Matplotlib, and Seaborn\. Key Responsibilities & Projects: • Performed data analysis using NumPy and statistical operations on the World Happiness Report dataset • Created statistical visualizations such as Histograms, KDE Plots, Boxplots, and Heatmaps • Conducted IPL Sports Data Analysis to study player performance, strike rates, and team statistics • Performed Exploratory Data Analysis \(EDA\) on Netflix dataset to analyze content trends, genres, and release patterns • Worked with Python libraries including NumPy, Pandas, Matplotlib, and Seaborn • Improved skills in data cleaning, visualization, statistical analysis, and handling real\-world datasets • Uploaded and documented projects on GitHub for portfolio development Skills: Python, NumPy, Pandas, Data Analysis, Data Visualization, EDA, Matplotlib, Seaborn, Statistical Analysis, Jupyter Notebook, Google Colab

## Education

Bachelor of Science \- BS, Statistics, Kamla Education Society's Pratibha College of Commerce & Computer Studies,

Master of Science, Data Science, MIT Arts, Commerce & Science College \( MITACSC \)

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

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