---
title: "Naman Jain - Data Science Intern in Gwalior | Tal"
description: "Meet Naman Jain, Data Science Enthusiast | Skilled in Python, SQL, Scikit-Learn | Strong in EDA, Data Cleaning & Model Building | Actively Seeking Internships based in Gwalior."
image: "https://tal.club/meet/naman-jain/share-image"
---

# Naman Jain on Tal

## Headline

Data Science Enthusiast \| Skilled in Python, SQL, Scikit\-Learn \| Strong in EDA, Data Cleaning & Model Building \| Actively Seeking Internships

## About

Aspiring Data Scientist \| Python • SQL • Scikit\-learn • EDA • Predictive Modeling I’m a data\-driven student building practical experience in data science through end\-to\-end projects\. I convert raw data into actionable insights using Python, Pandas, NumPy, and SQL, visualize findings with Matplotlib and Seaborn, and deploy predictive models with Scikit\-Learn\. My workflow focuses on solid data cleaning, feature engineering, model evaluation, and clear storytelling so technical results create business impact\. Highlights: • Built multiple projects that include exploratory data analysis, data\-wrangling pipelines, and supervised learning models \(regression & classification\) to solve real problems\. • Hands\-on with model building and evaluation: cross\-validation, hyperparameter tuning, and performance metrics to ensure robust predictions\. • Created interactive visualizations and reports that communicate insights to non\-technical stakeholders and inform decision making\. • Comfortable working in Jupyter Notebook and Excel for rapid prototyping and analysis\. I’m actively expanding my portfolio with projects that emphasize scalability and product relevance — aiming to move from academic exercises to production\-oriented solutions at product\-based companies\. I’m detail\-oriented, open to feedback, and focused on measurable improvements \(accuracy, precision, automation\) rather than buzzwords\. Let’s connect — I’m open to internships and entry\-level roles in data science or ML\. Check my projects on my profile or message me if you’d like to collaborate or discuss opportunities\.

## Location

Gwalior

## Work experience

Data Science Intern at Self\-Employed, Jun 2025 \- Present · 1 yr 1 mo, Remote, • Built and deployed multiple end\-to\-end machine learning models using Python, Pandas, NumPy, and Scikit\-learn, solving real\-world problems like prediction, classification, and trend analysis • Conducted deep exploratory data analysis \(EDA\) and created actionable dashboards using Matplotlib and Seaborn, improving clarity and insight from datasets • Cleaned and transformed large datasets with SQL and Python, improving data quality and analysis speed by over 30% • Engineered features and applied hyperparameter tuning to optimize model performance, achieving up to 85–90% accuracy in classification models • Documented all projects on GitHub and used Jupyter Notebooks to present step\-by\-step logic and insights, enhancing reproducibility and clarity • Collaborated with peers for feedback and continuous improvement, mimicking real\-world data team workflows

Machine Learning Intern at Elevate Labs, Sep 2025 \- Oct 2025 · 2 mos, Remote, \- Worked on real\-time projects involving data preprocessing, feature engineering, and model development\. \- Built and evaluated machine learning models to solve practical problems\. \- Implemented AI solutions using Python and libraries like TensorFlow, Keras, and Scikit\-learn\. \- Gained hands\-on experience in model evaluation, optimization, and deployment concepts\.

Data Science Intern at OutriX, Aug 2025 \- Sep 2025 · 2 mos, Gurugram, Haryana, India, Completed a Data Science Internship focused on real\-world problem solving and machine learning applications\. 🔹 Performed Exploratory Data Analysis \(EDA\) on student performance data to uncover insights and trends\. 🔹 Built a content\-based Movie Recommender System using NLP techniques \(CountVectorizer \+ Cosine Similarity\)\. 🔹 Developed a Customer Segmentation model using K\-Means clustering to identify customer groups based on income and spending behavior\. 🔹 Applied Python, Pandas, Scikit\-learn, Matplotlib, and Seaborn for data preprocessing, visualization, and model building\. This internship gave me hands\-on experience with both supervised and unsupervised learning while improving my data cleaning, feature engineering, and visualization skills\.

## Education

Bachelor of Technology \- BTech, Mathematics and Computer Science, Madhav Institute of Technology and Science, Gwalior

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

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