A composed and proactive professional with sharp work ethic, adept at prioritizing tasks and overcoming challenges swiftly. Strong in time management, problem-solving, etc... Thrives in collaboration and under pressure. Meticulous attention to detail ensures precision. Experienced leader driving innovation and achieving collective goals.
HTML
CSS
JavaScript
React
Python
Java
Node.js
Tailwind CSS
Vite
Next.js
Framer Motion
VS Code
GitHub
Netlify
Render
Postman
Google Colab
MongoDB
Firebase
Figma
Canva
Excel
8.43/10
8.49/10
71%
84%
Welcome to my portfolio! Explore a collection of projects showcasing my expertise in technology.
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MERN Stack
May - 2025
A modern and responsive notes-taking application built with the MERN stack. Scribbly allows you to create, view, update, and delete notes with a clean UI and smooth UX.
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Machine Learning & MERN Stack
Mar - 2025
This project using Machine Learning with a web-based interface built with React, Flask, and Node.js for real-time predictions and user history tracking.
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MERN Stack
Feb - 2025
A real-time MERN chat app with one-on-one messaging, image sharing, and theme customization, powered by Socket.IO and Cloudinary.
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Dynamic Web App
Jan - 2025
CryptoTracker offers real-time cryptocurrency data, including prices, market cap, and trends, powered by the CoinGecko API.
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Dynamic Web App
Jan - 2025
A YouTube clone using YouTube Data API v3 for seamless video streaming and in-app viewing.
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Dynamic Web App
Jan - 2025
A Netflix clone with TMDB API for a vast movie library and Firebase for secure authentication.
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Machine Learning & NLP
Nov - 2024
Conducted EDA and NLP on data breaches to uncover trends, extract patterns, and predict leak methods with 90.48% accuracy using Random Forest.
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Static Website
Jul - 2024
A static, visually appealing website for a local salon, showcasing services and incorporating interactive features to enhance the user experience.
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Static Website
Apr - 2024
My portfolio showcases my projects and contributions. Explore, and feel free to reach out for collaborations!
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Machine Learning
Mar - 2023
This project optimized algorithm selection for early-stage cancer detection using predictive analysis, confusion matrices, and entropy to minimize error rates.
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© 2025 Dinesh Kumar. All rights reserved.
