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N S Rawat Data Science Journey

My passion for data analysis and machine learning drives me to explore insights and build intelligent solutions.

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Loved the project? Please visit my Portfolio


Portfolio Website

NSRawat's Blog


Tech Stack

This portfolio is hosted on Vercel, built with Next.js and Tailwind CSS using Shadcn/UI.

Next.js MDX Vercel React TypeScript Tailwind CSS shadcn/ui Umami c15t

This portfolio site takes inspiration from chanhdai.com. I appreciate Nguyen Chanh Dai for their contribution to this minimal, lightweight, and highly customizable shadcn/ui.


Tech & Features

  • ⚛️ Upgrade to React 19, Next.js 16, Shadcn/UI
  • 🎉 Adopting TypeScript, committing with Tailwind CSS v4
  • 👀 Theming in dark mode with shadcn/ui Dark Mode colors for better contrast.
  • 📊 Website analytics with umami.
  • 👨‍💻 My website refers to the design and code from the chanhdai.com repository and incorporates shadcn/ui.
  • 📝 Blog Supports MDX & Markdown, raw .mdx endpoints for AI readability, syntax highlighting, dynamic OG images, and RSS feed

My Data Science Focus

I specialize in:

  • Predictive Analytics: Building machine learning models for forecasting and classification
  • Data Visualization: Creating insightful visualizations using Power BI, Tableau, and Python libraries
  • Statistical Analysis: Applying statistical methods to extract meaningful patterns from data
  • Deep Learning: Developing neural networks for complex pattern recognition tasks
  • Business Intelligence: Transforming raw data into actionable business insights

Express Your Support

If you find my data science projects helpful, show your appreciation with a ⭐

💰 You can help me by Donating

Buy Me A Coffee PayPal UPI


Data & Resources

The datasets used in my projects come from Kaggle, UCI Machine Learning Repository, and various public data sources. Visualizations are created using Plotly, Matplotlib, and Seaborn.

Extending sincere thanks for these exceptional resources 🙏



Inspired by chanhdai.com


Copyright © 2025 - N S Rawat (NSRawat)

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Featuring my minimal, pixel-perfect portfolio, analytical projects, code notebooks, experiment logs, and innovative data-driven ideas.

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