Youry Morgan Nelson

Junior Software Engineer

Photo of Youry Morgan Nelson

ABOUT

Hey all!. I am a computer science student currently enrolled at Dawson College. I am finishing my Cegep DEC and am soon headed to university. I have experience in web developpment, both in the frontend and the backend and experience in software developpment. Having worked with XAML based applications and game libraries like Monogame, I am open to any opportunity that can help me develop my skills in the software developpment.

Programming Languages

  • C#
  • Java
  • JavaScript
  • Python
  • HTML/CSS
  • SQL (Oracle)
  • PL/SQL
  • Kotlin

Software Frameworks

  • React
  • .NET
  • Node.js
  • Express.js
  • Flask
  • Django
  • Avalonia
  • Entity Framework
  • JDBC (Oracle)

A web Application created with the MERN stack to display weather events and their related car accidents on a map of the United States. In this project I worked on: Creating functions to query data from the database Creating front-end components such as charts and a filter feature Testing of features with Mocha-Chai Perfomance improvements such as reducing bundle size Deployment of the application

A web application developed using Python with Flask and SQL allowing users to schedule appointments. With this project, I learned to request data from the server as objects depending on the client’s request, how to route pages to URLs and restrict user access to certain pages depending on their access level

A software application created using C# with Avalonia and SQL that allowed the user to create, edit and share recipes with other users in the same network. Through this project, I learned to implement the MVVM pattern to manage data from a database through an XML UI framework

An AI model created with Python using the Keras Library that estimates the final grade evaluation of a student based off criteria selected such as the study habits. Through this project, I learned how to make my model more accurate by adjusting its training layers, selecting the best parameters for a specific metrics, to be mindful of the datasets and the model as they can be used in unethical ways

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