I'm a full-stack developer with experience building software solutions in cross-functional team environments. I'm passionate about applying my skills to tackle real world challenges.
Currently open to new opportunities, particularly in back-end development. I'm interested in solving the challenges of building reliable, efficient and scalable infrastructure.
When not coding, I love playing soccer, cooking and exploring new cafes in the city.
The motivation for this project came from a conversation with a friend about the energy plans offered by our local electricity provider, and which of the three available plans would save them the most money. Though I found no difference between the plans in my case, my friend happily switched to the more cost-effective plan for them (as it allowed them to charge their car for cheaper at night πβ‘).
A tool for collecting the metrics of every video in a YouTube playlists or channel. Simply paste the URL to the playlist/channel, and the app will return a CSV of metric data gathered from the YouTube API - ready to be used in visualization exercises or machine learning datasets.
While working on a data visualization project, I needed video metrics from a playlist with hundreds of videos in it. Finding no tool to automate this process, and faced with the possibility of having to repeat this process for a different playlist again, I resorted to create this app.
Some of my old "design to code" mock-ups for classes during my time at Juno College.