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Jordan Browne-Moore is an accomplished data science professional with extensive experience in developing advanced data solutions and optimizing processes. Currently serving as a Senior Data Scientist at Kuda, Jordan has implemented a multimodal LLM pipeline solution that significantly enhanced KYC processes, achieving a 40x increase in processing speed. Previously, as a Senior Data Science Consultant at Capgemini Invent, Jordan led a project that analyzed over 50,000 case records to improve bank credit collections efficiency and proposed a machine learning retrieval model that enhanced customer service response quality. Jordan's background includes roles as a Data Science Consultant at FairVector and Beyond Analysis, as well as initial positions in financial analysis and data science internships. Educational qualifications include a Master’s degree in Financial Economics from Birkbeck Faculty of Business and Law and a Bachelor’s degree in Economics and Finance from Southern Oregon University.