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emazou/README.md

NIA

About Me

💡  I like to explore new technologies and develop software solutions and quick hacks.
🌱  I'm on track for learning more about GO.

• Languages and Tools

TypeScript Python JavaScript HTML5 CSS3 Less Git

• Frontend

React Next JS Ant-Design

• Backend

NodeJS Express.js Django Golang GraphQL JWT Postgres

• Cloud

AWS GitHub Actions

• Data

NumPy Pandas SciPy Matplotlib

GitHub Analytics

Contact me

Linkedin

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  1. big-query-visualizer big-query-visualizer Public

    big-query-visualizer is a comprehensive full-stack application that combines the power of a Next.js frontend with a Django REST Framework backend. This application is uniquely designed to perform b…

    TypeScript 1 1

  2. zeldacamila/hg0-emailClient-frontend zeldacamila/hg0-emailClient-frontend Public

    AwesomeMailBox's frontend interface facilitates user account management for sending and receiving emails with ease. It's designed for a smooth user experience. For API details, visit our backend re…

    TypeScript 3 3

  3. zeldacamila/hg0-emailClient-backend zeldacamila/hg0-emailClient-backend Public

    This is the backend of Awesome MailBox and contains user and email APIs. Built with Django. It powers the core functionalities for our email client, including account management and email operation…

    Python 4 3

  4. mytinerary mytinerary Public

    Developed a full-stack travel itinerary application at MindHub LA Bootcamp featuring destination creation, community sharing, and user interactions like comments and likes. Built with React, Redux,…

    JavaScript

  5. go-microservices-sp go-microservices-sp Public

    This project focuses on developing an e-commerce platform using a microservices architecture. The primary programming language for the development of the services is Go. The project includes compre…

    Go

  6. personal_nutritionist personal_nutritionist Public

    Forked from home-group-1/personal_nutritionist

    Machine Learinig Model uses a personalized approach to provide recommendations based on health data entered by users, such as age, weight, height, and lifestyle habits.

    TypeScript