About Me:

I'm a data scientist and machine learning practitioner. I have a Bsc in Mechanical Engineering, but the variety of problems I'm interested in applying ML and Data Science tools to is quite broad. Below are a few of the projects I've been involved in.

Nursing Home Brief IoT Monitoring: Omdena, DriQ Health

This project was done as a volunteer ML Engineer for Omdena, a datascience volunteering platform. The client was a startup in the healthcare monitoring space called DriQ Health. Their mission was to develop a system that would allow nursing home staff to determine if seniors were wearing wet diapers without having to check them manually. Seniors left to wear unchanged briefs for extended periods are at risk of skin breakdown, and dangerous urinary tract infections.
I was involved in the dataset creation and labeling pipeline, and model evaluation.
Note: the certificate title is for "Lead ML Engineer" due to a title upgrade at the end of the project.

Omdena Project Link Completion Certificate

Soil Organic Carbon Modelling: Omdena, Azolla Projects

This project was done as a volunteer Junior ML Engineer for Omdena, a datascience volunteering platform. The client was a startup in the regenerative agriculture space named Azolla Projects. Their mission was to help farmers transition to regenerative agriculture methods, since these methods can decrease a farm's carbon emission, thereby generating carbon credits that can be sold in carbon markets. We were tasked with creating tools to specifically visualize and predict the effect of certain methods on a given plot's soil organic carbon (SOC). I was involved in data acquisition and research, and was one of the main members of the modeling team.

Omdena Project Link Completion Certificate

Machine Reliability Prediction Using Sound (Unfinished)

This is a model that, given a sound clip from an operating machine, can classify that operation as either normal, or abnormal. It is trained using data from the MIMII machine sound dataset, which contains sounds from several classes of machines.

Project Page Github Repo

Solar Power Prediction (AMII ML Technician Course)

This is the final presentation created by my team in the AMII ML Technician Course. Our team was given a dataset, and over the course we spent time scoping out, and evaluating an business case for an ML solution, then analyzing the data and building and evaluating an appropriate model.

Capstone Presentation Course Credential

Skin Cancer Detection Webapp (UAIS)

A web application where the user can compete against a convolutional neural network to see who can more accurately identify whether presented pictures of possibly cancerous skin lesions are malignant or benign. This project was done with the Undergraduate AI Society at the University of Alberta, for the AI in Medicine Student Society Symposium.

Note: the currently linked version of the webapp uses pre-computed predictions.

Project Page Github Repo