I'm a McGill Civil Engineering graduate working as a data analyst in Montréal. This is my space where I share my work, photography, art and thoughts. I spend most of my time doing data projects, reading old Sci-Fi novels, dabbling in film photography and occasionally strumming on stringed instruments. I'm always looking out for a new project to tackle so if you want to work on something, take photos or talk books get in touch!
Last year, I worked on a project analyzing data from Thingful’s repositories in an effort to predict “missing data”. I got the chance to reconnect with Umbrellium to tackle a new challenge in IoT this time tackling Air Quality specifically and incorporating the use of wearables and our own data sources.
In May-July 2016 took part in a course offered by NovoED and +Acumen in partnership with IDEO to learn Human-Centered Design, research methods, concept generation and prototyping a solution to a real-world design challenge. I had an amazing time so I put together my thoughts and findings.
This summer I worked with the IoT visionaries at Thingful conducting data science and machine learning experiments to see how Thingful, with it's repositories of millions of sensors around the world, might 'fill in the gaps' of 'missing' data to create 'virtual sensors'
In early 2015, I discovered Talend, a simple to use open-source Extract Transform and Load (ETL) tool. I collected so much information while figuring it out that I still use it to help me on my own projects. I put a "How-To" together of what I know that hopefully could be of use to others.
The Human Activity Recognition Project (HAR) put together a study placing accelerometers on 6 participants. They were asked to lift the weights correctly and incorrectly and the goal was to examine how well an exercise was being performed. This project creates and contrasts Machine Learning techniques in R to determine the answers.