Fannie Mae
Tailun Song is a Financial Data Engineer at Fannie Mae, with experience in data analysis and engineering since May 2018. Previous roles include a Technology Engineering Intern at Dun & Bradstreet, where Python scripts were developed for data collection and analysis, and an internship at China Unicom's iPhone support department. Tailun also served as a Research Assistant at Beijing University of Posts and Telecommunications, implementing data collection tools using Python and JavaScript. Tailun holds a Master's degree in Business Intelligence & Analytics from Stevens Institute of Technology and dual Bachelor's degrees in E-Commerce Engineering with Law from Queen Mary University of London and Beijing University of Posts and Telecommunications.
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