About Me
Professional Master's Student in Machine Learning
Professionally, I am currently a Data Science intern at Bell Canada, where I designed an end-to-end anomaly detection project that monitors quality-of-experience (QoE) KPIs and sends automatic notifications. I evaluated state-of-the-art models such as CNNs, autoencoders and isolation forests, and designed the training and production infrastructure on Google Cloud Platform, helping the team react faster to known anomalies.
Previously, I worked as an AI and Cloud Solutions Web Advisor at Travel Direct Group, a small-to-medium enterprise that brings together over 125 travel agencies, where I was responsible for exploring AI initiatives and identifying specialized external partners, while also contributing to the deployment of agency websites. Before that, I worked at Desjardins as a Data Engineering Advisor, and at the Office québécois de la langue française as a System Lead. There, I contributed to the development of an automated extraction tool for detecting tables and fields used in SAS code, as well as to the creation of Power BI dashboards powered by my own SQL queries. From these experiences, the most valuable lesson I’ve learned is the importance of communication, especially the ability to translate technical challenges for both internal and external clients, and to uphold transparency and honesty with management.
Outside of work and academics, I enjoy playing competitive badminton, which helps me stay active and balanced. This sport has taught me the importance of strategy, focus, and teamwork, qualities that I bring into every aspect of my life.