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Achievement: StarstruckAchievement: Pull Sharkx2Achievement: YOLOAchievement: Arctic Code Vault Contributor

Achievements

Achievement: StarstruckAchievement: Pull Sharkx2Achievement: YOLOAchievement: Arctic Code Vault Contributor

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baguilar6174/README.md

www.bryan-aguilar.com

Hi 👋, my name is Bryan Aguilar


I am a systems engineer specialized in front-end with more than five years of professional experience. I have worked in software development, mobile app creation, front-end web, but I also have some skills in other fields like backend development and data management.

💻 Frontend Developer / wrangling skills using React / Next.js / Angular / Flutter
⚙ Backend Developer / wrangling skills using Node / Java / Python / Nest JS
📖 Enthusiastic Data Analyst & Scientist / SQL / Spreadsheets / Python

✍ Blog & Writing

Apart from coding, I also maintain a blog - you can find my articles on my website at bryan-aguilar.com/blog as well as on Medium.

A sample of my recent articles:


Tech Stack

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  1. node-template-server node-template-server Public template

    Boilerplate Node projects with Express, Typescript and Clean Architecture

    TypeScript 80 21

  2. flutter-books-app flutter-books-app Public

    Este repositorio contiene un ejemplo de clean architecture con el gestor de estados CUBIT para generar una aplicación que consume un servicio we para obtener libros fake y mostrarlos en una simple …

    Dart 4 1

  3. node-natours-server node-natours-server Public

    This repository contains a Rest API server created with Node, Express and Typescript, using clean architecture and best development practices. It uses MongoDB DB.

    TypeScript 4

  4. github-user-search-challenge github-user-search-challenge Public

    This repository contains a challenge of Frontend Mentor

    TypeScript

  5. asesori-web-page asesori-web-page Public

    Repositorio para almacenar el código fuente de la nueva plataforma web de ASESORI

    TypeScript 3

  6. data-analysis-cyclisticBike data-analysis-cyclisticBike Public

    This case study is about a fictitious company, Cyclistic. Where I will answer business questions, following the steps of the data analysis process: Ask, Prepare, Process, Analyze, Share and Act.

    Jupyter Notebook