Skip to content
View chandankumarm55's full-sized avatar
πŸ₯°
Student
πŸ₯°
Student
  • Bengaluru
Block or Report

Block or report chandankumarm55

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
chandankumarm55/README.md

πŸ’« About Me:

Developing skills in the MERN stack (MongoDB, Express.js, React.js, Node.js).Studying Data Structures and Algorithms (DSA).
Open-source projects related to web development using the MERN stack. Coding challenges and problem-solving to improve my DSA skills.
Advanced concepts in React.js and Node.js. Complex algorithm problems in DSA.
MERN stack for full-stack web development. Data Structures and Algorithms to enhance problem-solving abilities.
Basics of the MERN stack. Beginner-level DSA concepts and coding problems.I enjoy finding creative solutions to coding problems and love to learn new technologies in my free time.

🌐 Socials:

LinkedIn Portfolio

πŸ’» Tech Stack:

C JavaScript PHP Python HTML5 Vercel Render Socket.io Redux NPM Nodemon NodeJS MUI JWT React Bootstrap Apache MongoDB MySQL Canva NumPy Pandas Matplotlib scikit-learn Git GitLab Postman Portfolio

πŸ“Š GitHub Stats:




πŸ’° You can help me by Donating

BuyMeACoffee PayPal

Popular repositories Loading

  1. chandankumarm55 chandankumarm55 Public

    Config files for my GitHub profile.

  2. Search-Bar-and-API Search-Bar-and-API Public

    This project demonstrate how API works and we just create a search bar application and it retrive from unsplash.

    CSS

  3. pythonSample-Machine-Learning-model pythonSample-Machine-Learning-model Public

    Developed a diabetes prediction model in Python using machine learning, storing cases in a CSV file. Integrated with Streamlit, the user-friendly interface allows individuals to input health data f…

    Python

  4. Simple-Ecommerce-Website Simple-Ecommerce-Website Public

    This website is meticulously crafted using the dynamic trio of HTML, CSS, and JavaScript, ensuring a responsive and user-friendly experience across all devices.

    HTML

  5. Calculator-App Calculator-App Public

    JavaScript

  6. React-Landing-Page React-Landing-Page Public

    JavaScript