I’m a Full-Stack Developer with a strong foundation in JavaScript (MERN Stack) and Python, and hands-on experience building interactive web applications, robust backend APIs, and data-driven projects.
My core focus is building end-to-end web solutions, backed by practical knowledge of data analysis and machine learning fundamentals.
📍 New Delhi
🔗 LinkedIn: https://www.linkedin.com/in/madhavshreyansh
I build scalable, user-centric applications from the UI to the Database:
- Frontend: React, JavaScript (ES6+), HTML5, CSS3, Responsive Design.
- Backend: Node.js, Express.js, RESTful APIs, Middleware, and JWT Authentication.
- Database: MongoDB (NoSQL) and data modeling.
I work with data to analyze trends and build predictive models using:
- Python
- Pandas, NumPy
- Scikit-learn
- Jupyter Notebooks
Full-Stack Video Streaming Platform Developed a comprehensive clone featuring video uploading, real-time data fetching, and a responsive playback interface. Built a dedicated backend to manage video metadata and user interactions, ensuring seamless communication between the client and server.
Tech: Node.js, Express, MongoDB, React, JavaScript
https://github.com/madhav758/YoutubeClone
JavaScript E-commerce Application
Interactive shopping interface focusing on UI logic and user flow.
Tech: JavaScript, HTML, CSS
🔗 https://github.com/madhav758/ShopeGlobe
E-commerce Application backend
RESTful API & Server-side Logic Architected the server-side infrastructure to manage product data, user authentication, and order processing.
Tech: Node.js, Express.js, MongoDB, JWT (JSON Web Tokens)
https://github.com/madhav758/ShopeGlobe_backend
Frontend Web Clone
Recreated a real-world food delivery UI to practice layout, structure, and interactivity.
Tech: JavaScript, HTML, CSS
https://github.com/madhav758/Swiggy_Clone
**Server-side API & Data Management **
Developed the backend infrastructure to handle restaurant data, menu items, and order simulations. Focused on building clean API endpoints and managing data flow to the frontend.
Tech: Node.js, Express.js, MongoDB
https://github.com/madhav758/Swiggy_Clone_BackEnd
Real-Time Weather Application
Fetches and displays live weather data using external APIs.
Tech: JavaScript, Fetch API
https://github.com/madhav758/weather-app
Machine Learning – Linear Regression
Built a regression model to predict sales based on advertising spend.
Tech: Python, Pandas, Scikit-learn
https://github.com/madhav758/advertising-sales-prediction
Time-Series Analysis Project
Analyzed and forecasted monthly airline passenger traffic using classical techniques.
Tech: Python, Pandas, Jupyter Notebook
https://github.com/madhav758/Airplane-passenger-traffic-prediction-
Languages & Frameworks
- JavaScript (Node.js, Express, React)
- Python
- HTML5, CSS3
Databases & Tools
- MongoDB
- Git & GitHub
- Postman (API Testing)
- Pandas, NumPy, Scikit-learn
- LazyVim (Neovim)
- Building robust Full-Stack (MERN) applications with complex authentication.
- Mastering Data Structures & Algorithms (Java/JS) for optimized backend logic.
- Preparing for GSoC 2026 and open-source contributions.
- Writing cleaner, more professional documentation.