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Abhi96k/README.md

MasterHead

Hi πŸ‘‹, I'm Abhishek

A Passionate Backend Developer and Machine Learning Enthusiast

Profile views


πŸ’» About Me

  • πŸ”­ I’m currently working on: Machine Learning and Deep Learning projects.
  • 🌱 I’m currently learning: Machine Learning and the MERN Stack.
  • πŸ‘― I’m looking to collaborate on: Backend development with MERN.
  • πŸ’¬ Ask me about: Backend development and Machine Learning.
  • πŸ“« How to reach me: abhisheknangare96k@gmail.com.
  • πŸ“ Check out my articles: LinkedIn.
  • πŸ‘¨β€πŸ’» View all my projects here: GitHub Profile.

🌐 Connect With Me

LinkedIn Instagram Hackerrank LeetCode GeeksForGeeks


πŸ› οΈ Technical Skills

  • Programming Languages: C++, SQL, JavaScript
  • Machine Learning & AI: TensorFlow, Keras, Scikit-learn, Pandas, NumPy, PyTorch, Matplotlib, Seaborn
  • Development: Node.js, Express.js, React.js, Docker, AWS, GitHub
  • Database Management: MongoDB, MySQL

πŸ“œ Certifications

  • AWS Certified Solutions Architect – Associate (January 18, 2024 – January 18, 2027)
  • AWS Certified Cloud Practitioner (January 15, 2024 – January 15, 2027)

πŸ† Achievements

  • LeetCode: Global Rank – 99,831 (500+ problems solved) – Profile: abhi9001
  • GeeksForGeeks: 468 problems solved (Institute Rank - 127) – Profile: abhisheknangare96k
  • Coding Platform: 300+ problems solved – Profile: Abhi9001

πŸ“š Notable Projects

  • Anonymous Feedback Hub (June 2023 - July 2023): Developed a web app for anonymous feedback collection in employment settings using Next.js. Secured the app with OAuth2 via β€˜next-authβ€˜ and used MongoDB for robust data management. Optimized form handling using β€˜react-hook-formβ€˜ and β€˜zodβ€˜ for validation.
    Technologies: Next.js, OAuth2, MongoDB, Tailwind CSS, React, Zod, Axios
    Live Demo β€” Source
  • CareTech AI (February 2024 - March 2024): Developed machine learning models to predict five diseases, achieving over 95% accuracy. Processed datasets with over 300,000 rows and compared multiple neural network architectures.
    Technologies: TensorFlow, NumPy, scikit-learn, Pandas, Streamlit
    Live Demo β€” Source
  • StudyFlicks (July 2024 - August 2024): Developed a video learning platform with optimized search functionality, achieving a 60% improvement in efficiency. Implemented real-time video synchronization and user authentication.
    Technologies: React, Node.js, MongoDB, Express, JWT
    Source

πŸ› οΈ Languages and Tools

Appwrite AWS Bootstrap C Chart.js C++ CSS3 D3.js Docker Express.js Google Cloud Hadoop HTML5 Java JavaScript MATLAB MongoDB MySQL Node.js OpenCV Pandas Postman Python PyTorch React Redux Scikit Learn Seaborn Tailwind CSS TensorFlow TypeScript


πŸ“Š GitHub Stats

GitHub Stats GitHub Streak Top Languages GitHub Profile Details Commits per Week Repos per Language Most Commit Language GitHub Stats Summary

Pinned Loading

  1. AI-Based-Health-assistant- AI-Based-Health-assistant- Public

    creating deep learning app for health assistance Purpose

    Jupyter Notebook 1

  2. AWS_Gen_Ai AWS_Gen_Ai Public

    Python 1

  3. nextjs-app-deploy-with-docker-ec2 nextjs-app-deploy-with-docker-ec2 Public

    JavaScript 1

  4. portfolio_website portfolio_website Public

    JavaScript 1

  5. StudyFlicks StudyFlicks Public

    JavaScript

  6. TrueFeedBack_NextJs TrueFeedBack_NextJs Public

    TypeScript 1