Abraham Workineh is a data scientist at USAA since July 2013, where expertise involves applying advanced machine learning algorithms for data pattern analysis and developing predictive models to enhance customer relations. Prior experience includes serving as a graduate research assistant at North Carolina A&T State University from August 2008 to May 2013, focusing on genetics-based machine learning algorithms and task allocation learners within the NSF-funded BEACON project. Earlier, Abraham was a software developer at Ethiopian Airports Enterprise from September 2006 to July 2008, contributing to various J2EE enterprise and web application projects. Academic qualifications include a Ph.D. in Electrical Engineering and a Master's degree in Electrical, Electronics and Communications Engineering from North Carolina Agricultural and Technical State University, as well as a Bachelor's degree in Electrical and Computer Engineering from Addis Ababa University.
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