Kenny Leung

Kenny Leung is an accomplished Data Scientist at Semios since January 2018, specializing in algorithm design using dbt and SQL for data cleaning and anomaly detection in climate, soil, and plant health data from IoT devices. Kenny also developed an object detection model training and deployment pipeline utilizing GCP Vertex AI. Prior experience includes working as a Loss Prevention Consultant at FM Global, where evaluations of physical and human element exposures in commercial and industrial settings were conducted, and as a Material Handling Engineer at Fluor Canada, focusing on conveyor system design for large-scale projects. Earlier roles involved mechanical engineering tasks at SNC-Lavalin Group Inc. and Metro Vancouver, along with land development inspection work at Stantec Inc. Educational qualifications include a Data Science certificate from Metis and a Bachelor of Applied Science in Mechanical Engineering from The University of British Columbia.