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Achievements

Achievement: YOLOAchievement: Pull Sharkx2Achievement: Pair Extraordinaire

Achievements

Achievement: YOLOAchievement: Pull Sharkx2Achievement: Pair Extraordinaire

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akshat6749/README.md

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A passionate Computer Science student from Jadavpur University, Kolkata.

👨‍💻 About Me

I'm a final-year Computer Science student with a strong foundation in Data Structures, Algorithms, and full-stack web development. I love building innovative solutions and collaborating on exciting projects.

  • 🔭 I’m currently a Software Engineer.
  • 👯 I’m looking to collaborate on open-source projects related to web development.
  • 💬 Ask me about React, Next.js, Django, and Data Structures & Algorithms.
  • 📫 How to reach me: akshatjaiswal872@gmail.com
  • ⚡ Fun fact: I've solved over 1100 problems on various coding platforms!

🛠️ My Skills

Languages:

C++ Python JavaScript HTML5 CSS3

Frameworks & Libraries:

Next.js React Django Tailwind CSS Pandas NumPy

Databases:

PostgreSQL SQLite

APIs & Tools:

Git Google Cloud Pusher Cloudinary

📊 My GitHub Stats

Akshat's GitHub stats Top Langs

GitHub Streak

🤝 Let's Connect

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Profile views

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  1. JUgaadu JUgaadu Public

    JUgaadu is a full-stack hyperlocal marketplace built with a Next.js frontend and a Django backend. It allows users to buy and sell products locally, featuring real-time chat with Pusher, secure pay…

    JavaScript

  2. GharYatra GharYatra Public

    GharYatra is a full-stack real estate application for Browse, listing, and purchasing properties. Built with a Django backend and React frontend, it features Google Maps integration for property vi…

    JavaScript

  3. dibetes_prediction_model dibetes_prediction_model Public

    A complete end-to-end machine learning project that predicts diabetes using clinical and lifestyle features. It includes data cleaning, EDA, model comparison, hyperparameter tuning, and final model…

    Jupyter Notebook

  4. Keras-Project Keras-Project Public

    Given historical data on loans given out with information on whether or not the borrower defaulted (charge-off), can we build a model thatcan predict wether or nor a borrower will pay back their loan.

    Jupyter Notebook