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Shanker Lal Meghwar | Data Science & ML Portfolio

A personal portfolio and project showcase for a final-year Computer Science student at the University of Pécs specializing in Data Science and Machine Learning.

View Live Site »

📖 Overview

This repository contains the frontend TypeScript/Next.js code for the portfolio interface, alongside the Python-based data pipelines and ML models featured on the site.

🚀 Featured Projects

  • Diabetes Prediction Model: Predictive modeling using clinical and survey-based datasets (BRFSS).
  • AQI Prediction Dashboard: Air Quality Index prediction for the Tharparkar district with an automated data pipeline.
  • X-Ray Image Classification: Transfer learning (EfficientNetB0) and custom CNNs built from scratch for medical imaging.

🛠️ Tech Stack & Features

  • Machine Learning & Data Science: Python, Pandas, NumPy, Scikit-learn, XGBoost
  • Frontend Architecture: Next.js 14, React, TypeScript, TailwindCSS, Framer Motion, Shadcn/UI, Magic UI
  • Deployment & Hosting: Deployed on Vercel, optimized for static HTML exports.
  • Configuration: Entire portfolio content is driven by a single config file (src/data/resume.tsx).

💻 Local Development Setup

  1. Clone this repository to your local machine: 
    git clone [https://github.com/ShankerLal25150/ShankerLal25150.github.io.git](https://github.com/ShankerLal25150/ShankerLal25150.github.io.git)
  2. Move to the cloned directory: 
    cd ShankerLal25150.github.io
  3. Install dependencies: 
    npm install
  4. Start the local server: 
    npm run dev