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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

GIF

Estefania Mazo Uribe's Projects

big-query-visualizer icon big-query-visualizer

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 bigquery queries through an intuitive graphical interface, eliminating the need for direct SQL input.

catastro-pt icon catastro-pt

This is a Next.js frontend application, bootstrapped with create-next-app, leveraging Hasura with GraphQL and PostgreSQL for query handling.

first-quiz icon first-quiz

Repository for the first technical challenge of ver+ tech fellows 2024 program

go-microservices-sp icon go-microservices-sp

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 comprehensive unit testing to ensure the reliability and robustness of the services.

hg0-emailclient-frontend icon hg0-emailclient-frontend

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 repository: https://github.com/zeldacamila/hg0-emailClient-backend

import-your-dream icon import-your-dream

Proyecto de impacto social diseñado para inspirar y capacitar a estudiantes de últimos grados en colegios públicos ubicados en estratos 1, 2 y 3, introduciéndolos al mundo de la programación por medio de Python y la electrónica a través de Arduino.

mytinerary icon mytinerary

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, MongoDB, Express, and Node.js for a responsive and engaging user experience.

personal_nutritionist icon 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.

products-stack icon products-stack

Leveraging the MEVN stack with Node.js, Express, and MongoDB, complemented by JWT for security, this project offers a robust platform for users to manage products with secure CRUD operations, using Vue.js, Vuex, and Vite for a reactive front-end experience.

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