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    Junwen Wu

    Machine Learning Engineer at Intel Corporation

    Junwen Wu is a highly skilled professional with a background in developing and implementing statistical models, particularly within the financial services sector, using advanced statistical and machine learning techniques. He is specialized in fraud detection, statistical modeling, data mining, machine learning, and data management. His expertise includes working with large scale transactional datasets and researching techniques on variable selection and consolidation.

    Junwen Wu's educational background is impressive, having pursued a Master's degree in Pattern Recognition and Artificial Intelligence, a Bachelor's degree in Automation, and a Ph.D. in Electrical and Computer Engineering from Tsinghua University and UC San Diego, respectively.

    Throughout his career, Junwen Wu has worked in various roles at top organizations such as Intel Corporation, where he served as a Machine Learning Engineer and Former Marketing Data Scientist. He has also held positions at J E Moody & Company LLC as a Research Scientist, at IBM as a Quantitative Analyst and Lead, at FICO as an Analytics Scientist, and at ID Analytics (a Symantec company) as a Scientist. His skill set includes proficiency in SAS, C/C++, Matlab, PERL, and various scripting languages.

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    Location

    Portland, Oregon Area