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coding gif

〉 whoami

$ cat about.txt
Name      : Aditya Kumar
Role      : Full-Stack Developer + ML Learner
University: VIT Bhopal University — B.Tech CS
Location  : Bhopal, India 🇮🇳
Status    : Open to internships & collaborations

🔨 Tech I Work With

Tools are just tools — but the right ones, used well, make all the difference.

Languages

JavaScript Python HTML5 CSS3

Frameworks & Libraries

React Node.js Express NumPy Pandas Scikit-Learn

Databases & Tools

MongoDB Git GitHub VS Code Postman


🚀 Featured Projects

Projects I built because I wanted the thing to exist — not just for my portfolio.

📝 DevBoard — Full-Stack Task Manager

The problem: Most to-do apps are either too simple or bloated with features nobody asked for.

Built a full-stack task management app with user authentication, priority tagging, and deadline tracking. The UI is clean and fast — no tutorial clutter.

React Node.js Express MongoDB JWT Auth

What I learned: REST API design, JWT authentication flow, and how to structure a React app that doesn't become a mess after 500 lines.

📊 DataLens — ML Data Exploration Tool

The problem: EDA involves a lot of repetitive, copy-pasted code that slows down actual thinking.

Built a Python tool that auto-generates summary statistics, correlation heatmaps, and missing value reports from any CSV — so analysis can start sooner.

Python Pandas NumPy Matplotlib Seaborn

What I learned: How to write reusable data pipelines and why data cleaning takes longer than the model ever does.

🔗 LinkVault — Bookmark Manager Web App

The problem: Browser bookmarks are a graveyard nobody visits.

Built a minimal bookmark manager where users can save, tag, and search links — with a clean card-based UI and instant search. No login friction.

React LocalStorage API CSS Modules

What I learned: State management without Redux, and how much you can do with browser-native APIs before reaching for a library.

🧠 PricePredict — House Price ML Model

The problem: Real estate pricing lacks transparency for buyers.

Trained a regression model on housing data to predict prices based on location, size, and age. Compared Linear Regression vs Random Forest — documented results with visualizations.

Python Scikit-Learn Pandas Matplotlib

What I learned: Feature engineering matters more than algorithm selection. Outliers will ruin your R² score every single time.



📊 GitHub Stats

  
GitHub Streak
contribution graph

🏆 Achievements

trophies


📬 Let's Talk

Open to internship opportunities, project collaborations, cold emails about interesting ideas, and good conversations about tech — or cricket.

  


random dev quote

Pinned Loading

  1. esim-tool-manager esim-tool-manager Public

    Python 1

  2. SkillSwap SkillSwap Public

    JavaScript 1

  3. SahayNGO SahayNGO Public

    JavaScript

  4. DevBoard DevBoard Public