This project is about making financial data easier to understand and more accessible to the average retail investor. It aims to provide valuable financial data to help make informed investment decisions. Built with Ruby on Rails, financial Data is provided by the IEX API, the subscription payment process is handled by Stripe and the app is deployed with Heroku.

A local landscaping company, wanting to showcase their projects and services on a website, contracted me to make them one. This included a contact form to receive emails from potential clients and a way for the owner to dynamically add images to the site. One thing I learned with this project was finding a low cost solution for hosting the site and the images. I went with Heroku + Cloudinary to keep the monthly cost as low as 7$ a month.

My capstone project for second year was to build a site for computer science students at Okanagan college. It allowed users to select what they were interested in to be notified of events and news via email. Unfortunately the site still hasn't been hosted by the college. All the code is still available on Github. This project taught me about working collaboratively, dividing workload and solving problems as a team. We used Django for this project so it helped me learn python, which was a langauge I had always wanted to learn.

My tetris clone was made for a final project in my Video Game Development class. I wanted to challenge myself to create a multiplayer game so I made this game a 2-player battle tetris. The backend server was made in Node.js and the graphics and game mechanics were made in pure HTML5. This project allowed me to improve my knowledge of Node.js and really showed me how powerful HTML can be. It also taught me the importance of system design and planning your systems achitecture before starting to code.

My 4th year capstone project was to create a system that generates a social sentiment score for a given utility provider. Using the twitter api we were able to gather tweets, store relevant tweets regarding a utility company, and generate a sentiment score using a natural language processing system. During this project I got familiar with using api's with python and started learning how to use the Flask framework. We used an agile methodology throughout the entire year to develop this project, which really helped me learn scrum and agile software development.