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Welcome to My GitHub Profile! šŸš€

šŸ‘‹ Hi, Iā€™m Gaurav Kushwaha
I'm a passionate front-end developer with a knack for creating captivating web experiences. Here, you'll find a showcase of my projects and contributions that reflect my creativity and technical expertise.

LinkedIn | Email | Leetcode | Geeksforgeeks

Skills & Tools šŸ› ļø

šŸŒŸ Front-end: HTML | CSS | JavaScript | React.js (Basics) | WordPress
šŸŒŸ Programming Languages: Core Java
šŸŒŸ Database: SQL | Database Management
šŸŒŸ Version Control: Git | GitHub
šŸŒŸ IDE: VS Code

Education šŸŽ“

šŸŽ“ Bachelor of Technology in Computer Science and Engineering

Seeking Opportunities šŸ¤

šŸ” I am actively seeking job opportunities where I can contribute my skills and be part of a dynamic team. If you're on the lookout for a talented front-end developer with expertise in HTML, CSS, JavaScript, and WordPress, along with a taste of React.js and ASP.NET MVC basics, I'd love to connect with you!

Feel free to explore my repositories and reach out to me on LinkedIn. Let's collaborate and create something extraordinary together! āœØšŸ¤

An image of @gauravkkush9's Holopin badges, which is a link to view their full Holopin profile

Gaurav Kushwaha's Projects

blog-app icon blog-app

A blog application using React.js for front-end, Node.js for backend with Rest APIs for delivering services such as user authentication, mySQL database handling.

citytutor icon citytutor

An ASP.NET MVC web application to find online tution teachers for students.

dsa icon dsa

Solution of common DSA Problems

lets-do-it icon lets-do-it

Participate in Hacktoberfest by contributing to any Open Source project on GitHub! Here is a starter project for first time contributors. #hacktoberfest

python icon python

All Algorithms implemented in Python

to-do-list icon to-do-list

A simple task manager built using HTML, CSS, Bootstrap, and JavaScript.

weather-and-rainfall-prediction-using-machine-learning icon weather-and-rainfall-prediction-using-machine-learning

The project aimed to enhance the accuracy of weather and rainfall prediction using machine learning techniques. Leveraging a dataset from Kaggle as a starting point, the team focused on data preprocessing to improve model performance.

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