Tom Hales is a Senior Research Engineer at Smarsh, specializing in machine learning and speech and language processing for audio conduct surveillance in financial institutions. With a solid background in Business Objects development and consulting roles at various prestigious companies, including Transport for London, MUFG, Credit Suisse, and Barclays Investment Bank, Tom has a proven track record in credit risk and regulatory reporting. Educational qualifications include a BA/MA in Modern Languages and Linguistics from the University of Cambridge, an MSc in Language Teaching & Applied Linguistics from Aston University, and an MSc in Artificial Intelligence from Queen Mary University of London, alongside several certificates in data science and deep learning.
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