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Achievements

Achievement: Pair Extraordinairex3Achievement: Pull Sharkx3Achievement: Quickdraw

Highlights

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Organizations

@cosmetics-ref-elc @gatherio

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bholeneha/README.md

Hi there 👋, I am Neha. A Full Stack Developer based in Toronto, Canada.

  • 🔭 I’m currently working on ... two side projects - social calender app and a itinerary builder app.
  • 🌱 I’m currently learning ... Ruby on Rails on Udemy
  • 👯 Currently not looking to collaborate. Got plenty on my plate haha
  • 📫 How to reach me: ... Email: connect@nehabhole.com
  • ⚡ Fun fact: Currently converting a van into a tiny home! :)

Things I code with

Languages

JavaScript Python HTML5 CSS3 jQuery Markdown

Frameworks

React NodeJS Express.js Django SASS Bootstrap

Databases and Hosting

MongoDB Postgres SQLite Heroku

My GitHub Stats

Neha's GitHub Stats

Last Edited: March 14, 2023

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  1. simon simon Public

    A browser game built using HTML, CSS, and JavaScript that tests short-term memory by challenging players to remember increasingly longer sequences of lights and sounds at every level.

    JavaScript 4

  2. resource-vault resource-vault Public

    A web app built using MongoDB, Express, and Node.js that provides a collection of links and resources for developers, allowing users to easily explore different categories and add links to their fa…

    JavaScript

  3. cosmetics-ref-elc/cosmetics-color-ref cosmetics-ref-elc/cosmetics-color-ref Public

    chrōma: Cosmetic Color Reference is an app designed to help people with color vision deficiency (CVD) better identify and understand the colors in makeup products. Built using MERN stack.

    JavaScript 1 1

  4. florago florago Public

    Flora Go is an online plant shop built using the MERN stack and featuring full CRUD functionality, shopping cart support, and category-based plant exploration. User logins are tracked with JWT auth…

    JavaScript

  5. Text_Classification Text_Classification Public

    This project tests if machine learning provides a sufficient accuracy level for predicting topic classification on unseen text. LDA and Naive Bayes algorithms used. Data cleaned and uploaded to AWS…

    Jupyter Notebook

  6. django-comsuming-api-and-webscraping django-comsuming-api-and-webscraping Public

    Forked from aidanbell/django-comsuming-api-and-webscraping

    Lesson on consuming 3rd party APIs and webscraping with Beautiful Soup. Written for GA's Software Engineering Immersive program.

    Python