Xinyu Wu
svp ai ml model validations at u s bank@ U.S. Bank
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Xinyu Wu is a highly experienced professional with 22.5 years of work experience in the financial industry. Based in the United States, Xinyu has a strong background in managing and developing consumer credit products, specializing in marketing and risk strategy. With expertise in predictive model design, validation, and implementation, Xinyu has successfully led highly technical professionals to deliver successful business results. Xinyu's skills also include machine learning methodology, big data, and data mining and advanced data science tools. Xinyu has held various leadership positions in reputable companies such as U.S. Bank, Discover Financial Services, and HSBC.
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Emails and Phone Numbers

@discover.com
@yahoo.com
@usbank.com
+1 877734****
+1 847317****
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About

15+ years of progressive financial industry experience, managing and developing “consumer credit” related products’ marketing and risk strategy and business solutions Proven leadership in managing highly technical professionals to deliver successful business results Expertise: Predictive Model Design, Development, Validation and Implementation; Machine Learning Methodology (Gradient Boosted Models, Random Forest, Deep Learning, NLP); Big Data; Data Mining and Advanced Data Science Tools (Teradata, SQL, Hadoop, SAS, Python, R, H2O, Driverless AI, DataRobot); Direct Marketing Analytics; Acquisition and Portfolio Risk Management; Model Risk Management (Federal Reserve SR 11-7 /OCC Bulletin 2011-12); Retail Credit Policy; Consumer Behaviors and Insights; Analytical consulting

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Work Experience

800 Nicollet Mall, Minneapolis, MN, 55402, US

Banking

77049
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Xinyu Wu's Professional Milestones

  • svp ai ml model validations at u s bank (2019-11-01~): Developed and implemented comprehensive aiML models, contributing to improved customer satisfaction and driving financial success.
  • Senior Manager, Enterprise Modeling And Advanced Analytics (2011-04-01~2017-07-01): Implementing cutting-edge models and optimizing AI for enterprise efficiency and driving business growth.
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Education

University of Illinois Chicago
University of Illinois Chicago

Ph.d. (abd) In Neuroscience