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Nimish Jain

  • 🎓 Who am I? : : Fullstack Software Engineer @Ticketmaster India

  • 💻 Experience : : 3+ Years as on 01/05/2024

  • 📚 Education : : B.Tech Computer Science, GGSIP University, Delhi, India

  • 💬 Ask me about : : Fullstack Development (MERN Stack), Data Structures & Algorithms

  • 📫 How to reach me : : [email protected] | https://www.linkedin.com/in/nimishjain22

Nimish Jain's Projects

company-website-react icon company-website-react

A Prototype Website (Frontend only) created for a modern service based company GrowMore. This website has been built using the concepts of React JS, React Router DOM and Bootstrap.

covid-19detector icon covid-19detector

Machine learning project that predicts the probability of testing positive for Covid-19 disease

crud-usermanagementapp icon crud-usermanagementapp

This is a User Management App (Full-Stack) focusing on CRUD operations. This has a basic functionality of managing user data in form of tables. We can add a new user, update an existing user, and delete the user completely.

discord-clone icon discord-clone

A chatroom application (Full-Stack) made with React JS, state management done using Redux, Hosted using Firebase, Database managed using Firestore, UI and styling by Material UI & CSS.

dsa-practice icon dsa-practice

This is a repository for maintaining solutions to questions attempted while practicing Data Structures & Algorithms in C++

fullstack-chatroom-app-mern icon fullstack-chatroom-app-mern

This is a chatroom application that lets users create different rooms(channels) and text with other people in real time. Created using React-Redux, MongoDB, Express, & NodeJS.

imageuploader icon imageuploader

This is a backend application created using NodeJS, ExpressJS & MongoDB. We can upload multiple images to server at once. ExpressJS, Mongoose, NodeJS, Handlebars View Engine

the-foodiphile icon the-foodiphile

A web scraping script that scrapes the list of restaurants with highest rating and offer value delivering at location. It uses Python and BeautifulSoup for parsing webpages.

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