Jamie Huang is a data scientist with a strong background in artificial intelligence and data engineering. Currently employed at Shift Technology since September 2023, Jamie focuses on utilizing AI to identify fraud for insurance companies. Previous experience includes a role as an AI Engineer at RBC Capital Markets, where Jamie developed a comprehensive machine learning insight generation pipeline, and a Data Scientist position at Intact, where Jamie enhanced machine learning model pipelines. Jamie has also contributed as a Data Engineer at Gore Mutual Insurance, optimizing ETL processes, and as a Data Scientist at Maple Leaf Foods Inc, focusing on NLP product performance. Earlier experience includes work as a Data Analyst/Enterprise Analyst at the Canadian Food Inspection Agency. Jamie holds a Bachelor of Mathematics in Statistics from the University of Waterloo.
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