• Dynamic backend developer with 1 year of hands-on experience in web development applications
• Proficient in building web applications using Node.js as the backend tech-stack
• I collaborate with frontend teams to ensure seamless integration and cohesive project delivery.
• Skilled in navigating the Software Development Lifecycle and implementing Design Thinking principles, I am dedicated to enhancing user experience.
• With a collaborative mindset and the ability to drive initiatives independently, I am committed to contributing effectively to project success.

Languages: JavaScript, Node JS, Python

Frameworks: Express JS, React JS

Database: MySQL, MongoDB, PostgreSQL

Frontend Technologies: HTML5, CSS3

Code Versioning: Github

Architecture: Microservice Architecture

Other Skill: Python Basics, C++

Tools: VS Code, Jira, Swagger, Postman, BeautifulSoup

Web Server/Cloud: AWS

Operating System: Windows, Ubuntu

• AWS Cloud Practitioner

Data Scraping For CES Site:

Technologies & Tools: Python, BeautifulSoup

Description: The aim of this project is to develop a Python-based automated web scraping tool that extracts company names, URLs, and additional business information (such as location, contact details, industry type, etc.) from web pages. The data will be compiled and exported into a structured Excel sheet for analysis and future use.

Data Scraping For CIPD Festival of Work Site:

Technologies & Tools: Python, BeautifulSoup

Description: This project focuses on developing a web scraping tool to extract data from the Festival of Work website. The objective is to gather information related to exhibitors, including their details, products, and event specifics, for comprehensive analysis and reporting purposes. The collected data will be utilized to enhance understanding of industry trends, participant engagement, and overall event performance.

Data Scraping For HETT Site:

Technologies & Tools: Python, BeautifulSoup

Description: This project focuses on developing a web scraping tool to extract data from the HETT Show website. The objective is to gather information related to exhibitors, including their names, descriptions, and contact details, for analysis and reporting purposes. This data will facilitate insights into industry trends and support networking opportunities for attendees and participants.

Data Scraping For GITEX Global Site:

Technologies & Tools: Python, BeautifulSoup

Description: This project focuses on developing a web scraping tool to extract data from the GITEX Global website. The objective is to gather information related to exhibitors, products, and event details for analysis and reporting purposes.

Crayon.jobs:

Technologies: Node JS, Express JS, MongoDb

Description: Crayon is no ordinary recruitment platform and aims to reinvent the way businesses hire. In this web application we implemented multiple modules like: Candidate, Employer, Promoter, Recruiter, Admin. Employers can post jobs, manage their team, and manage talent pools. Candidates can apply for the jobs, create their resume and upload their existing CV. Admin can manage all the Jobs, Candidates, and manage the database.

Golden Campsite:

Technologies: Node JS, MongoDB, React JS, Express JS

Descriptions: I developed this website using Node.js and Express.js, leveraging APIs for mapping functionality and storing campground data in MongoDB which allows the users to explore and discover various campgrounds, aided by interactive maps.

Chat Box:

Technologies: MongoDB, Express JS, Node JS, React JS

Descriptions: I developed a messaging website, in that allowing users to exchange messages effortlessly, with a clean and intuitive interface, users can communicate in real-time, supported by React.js for the frontend, Node.js with Express.js for the backend, and MongoDB for data storage.

Movies Suggestions:

Technologies: React JS

Descriptions: During my involvement with the Movie & Series Recommendation Platform, I emphasized crafting a user-friendly interface aimed at consolidating all necessary details for users to discover the perfect movie or series within a single platform.