Data Science Manager
CurrentLead the fraud modeling team and also responsible for acquisition risk modeling
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@penfed.org
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Shenan Wu is listed as Data Science Manager at PenFed Credit Union, a company with 1622 employees, based in Raleigh-Durham-Chapel Hill Area, United States, United States. AeroLeads shows a work email signal at penfed.org and a matched LinkedIn profile for Shenan Wu.
Shenan Wu previously worked as Senior Data Scientist at Penfed Credit Union and Modeling Analyst at Penfed Credit Union. Shenan Wu holds Doctor Of Philosophy (Phd), Economics from North Carolina State University.
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5 Years of experience in statistics, applied econometrics, and empirical studies. Advanced knowledge of data analysis, data mining and statistical modeling in: Linear/Logistic Regression, Time Series/Panel Data Analysis, High Dimensional Regression, Experiment Design and hypothesis testing. An enthusiastic learner in statistics software. SAS Certified Statistical Business Analyst.
Listed skills include R, Data Analysis, Statistics, Python, and 7 others.
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Lead the fraud modeling team and also responsible for acquisition risk modeling
Mclean, VA
Responsible for data cleaning, exploration, and model development for various business goals. Built personal loan acquisition model and 1st generation 1st party fraud model for auto, personal loan, and credit card.
Mclean, VA
Responsible for data cleaning, exploration and model development for various business goals. Apply machine learning model with industry and internal data to build personal loan origination model. Create a fraud model to detect auto phantom loan.
4305 Nelson Hall
Lab Instructor for Fundamental of Economics
Raleigh-Durham, North Carolina Area
Collect data, design experiment, write introduction and literature review.
Shanghai City, China
Verified documents such as contract and invoiceCoordinated trading bills in the foreign trade department
Other employees you can reach at penfed.org. View company contacts for 1622 employees →
Lacey Williams
Colleague at Penfed Credit Union
Eugene, Oregon, United States, United States
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Deena Fisher Eagan
Colleague at Penfed Credit Union
Villas, New Jersey, United States, United States
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Julieta E. Balderaz
Colleague at Penfed Credit Union
New Braunfels, Texas, United States, United States
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Corey Sesin
Colleague at Penfed Credit Union
Leesburg, Virginia, United States, United States
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Brian White
Colleague at Penfed Credit Union
New Braunfels, Texas, United States, United States
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Christian Hansen
Colleague at Penfed Credit Union
Queens, New York, United States, United States
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Zamira Schmidt
Colleague at Penfed Credit Union
Omaha Metropolitan Area, United States
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Lucretia Stevens
Colleague at Penfed Credit Union
Greater Boston, United States
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Olajumoke Adeniyi
Colleague at Penfed Credit Union
United States, United States
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Francisco Torres
Colleague at Penfed Credit Union
San Antonio, Texas, United States, United States
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Major in microeconomics and applied econometrics.
Activities and Societies: Member of student's internet department and responsible for application, fixing and adjustment of student.
Quick answers generated from the profile data available on this page.
Shenan Wu works for PenFed Credit Union.
Shenan Wu is listed as Data Science Manager at PenFed Credit Union.
AeroLeads has found 1 work email signal at @penfed.org for Shenan Wu at PenFed Credit Union.
Shenan Wu is based in Raleigh-Durham-Chapel Hill Area, United States, United States while working with PenFed Credit Union.
Shenan Wu has worked for Penfed Credit Union, North Carolina State University, and Icbc (Asia).
Shenan Wu's colleagues at PenFed Credit Union include Lacey Williams, Deena Fisher Eagan, Julieta E. Balderaz, Corey Sesin, and Brian White.
You can use AeroLeads to view verified contact signals for Shenan Wu at PenFed Credit Union, including work email, phone, and LinkedIn data when available.
Shenan Wu holds Doctor Of Philosophy (Phd), Economics from North Carolina State University.
Shenan Wu is listed with skills including R, Data Analysis, Statistics, Python, Research, Economics, Financial Analysis, and Econometrics.
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