Nolan Derby is a skilled data scientist with extensive experience in data analysis and economic research. Currently at BC Assessment since November 2015, Nolan developed a highly accurate machine learning model for residential inventory prediction and market value models that meet industry standards. Previous roles include information analyst at BC Assessment, where Nolan utilized R and SQL for interactive map prototypes and improved reporting efficiency, competition law officer at Competition Bureau Canada, and research assistant at The University of British Columbia, contributing to economics papers published in top journals. Nolan holds a Master of Arts in Economics from The University of British Columbia and a Bachelor of Arts (Honours) in Economics from the University of Calgary.
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