Brendan Keller is a Senior Data Scientist at FIS, currently focused on developing the Wolverine fraud detection model, which processes millions of transactions daily. With ten years of experience in machine learning and risk management, Brendan holds a Ph.D. in Physics and has previously worked for notable companies including Hippo Insurance and FICO. Their expertise encompasses Python, machine learning, and big data technologies, allowing for the successful deployment of impactful models in finance and insurance domains. Brendan has a proven track record of enhancing fraud detection systems and identifying risk features that benefit business operations.
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