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    Victoria Martins

    Director of Machine Learning

    Victoria Martins is the Director of Data Science (Machine Learning) at Capital One, based in Alameda, California. With over eight years of experience in data science, she has a strong background in developing machine learning systems, particularly focusing on digital commerce and fraud prevention. Prior to her current role, she was a Senior Manager in Data Science at Capital One, where she led teams to build machine learning models aimed at enhancing customer experiences and security in financial transactions.12

    In her work at Capital One, Martins has been involved in innovative projects such as creating a virtual card number (VCN) system that helps reduce fraud by binding unique card numbers to specific merchants. This system utilizes advanced machine learning techniques to ensure accurate merchant identification and transaction approval, significantly improving the reliability of online transactions.1

    Martins is recognized for her leadership in the field and her contributions to machine learning applications within the financial sector.

    Highlights

    iCubed Seminar: Capital One - The Data Science Institute at Columbia ...
    Sep 14 · capitalone.com
    Fighting Fraud with Virtual Card Numbers | Capital One

    Related Questions

    What are some of the key projects Victoria Martins has led at Capital One?
    How did Victoria Martins transition from startups to Capital One?
    What specific machine learning techniques does Victoria Martins specialize in?
    Can you provide examples of Victoria Martins' contributions to fraud prevention at Capital One?
    What is Victoria Martins' educational background?
    Victoria Martins
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    Location

    San Francisco Bay Area