Summary
Xi Lin is an incoming visiting research intern at City University of Hong Kong and an M.A. candidate in Statistics at Columbia University with nine years of analytical experience spanning finance and research. He has built predictive models and multi-factor stock selection systems using PCA, SVM, R and MATLAB during an investment strategy internship, and is actively deepening his data science toolkit through extensive MOOCs from Stanford, Johns Hopkins, Caltech and MIT. Based in New York, he combines practical data engineering and statistical modeling skills with academic rigor, often "lurking" advanced courses to synthesize techniques across disciplines. Curious and self-driven, he blends hands-on implementation experience with a disciplined study habit that keeps him current on machine learning and data science methods.
9 years of coding experience
M.A Candidate, Statistics, M.A Candidate, Statistics at Columbia University in the City of New York
Bachelor of Science (BS), Information Management and Information System, Bachelor of Science (BS), Information Management and Information System at South China University of Technology