Brendan Patch is an expert in AI and analytics with over 10 years of experience in mathematical modeling and data analysis. They have led significant AI initiatives in the Victorian Public Service, including the development of a high-accuracy OCR solution and a proof-of-concept AI chat assistant for internal automation. Brendan previously served as a Principal Data Scientist at the Department of Government Services, where they successfully developed forecasting models and automated ETL processes to enhance decision-making. They hold a PhD in Mathematics and Statistics from the University of Amsterdam and have published extensively in top-tier scientific journals. Currently, Brendan works as a Senior Applied Scientist at Xero.
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