Summary
Xiaolin Huang is a logistics specialist and applied math/statistics student (B.S. expected Dec 2024) with nine years of practical experience bridging operational logistics and data-driven analysis. Skilled in Python, R, and MATLAB, Xiaolin has applied statistical methods and data visualization to large-scale social science datasets and classroom assessments, improving data consistency and clarifying complex analyses for peers and students. At Queensborough CC and Stony Brook University they delivered public presentations and hands-on tutoring as a teaching assistant, demonstrating an ability to communicate technical findings to nontechnical audiences. Now based in Philadelphia and working at US Elogistic Service Corp, Xiaolin combines analytical rigor with real-world logistics workflows, bringing a pragmatic problem-solving mindset and a knack for spotting data-quality gains that aren’t always obvious.
9 years of coding experience
Associate's degree, Mathematics, 3.79, Associate's degree, Mathematics, 3.79 at Queensborough Community College of The City University of New York (CUNY)
Bachelor's degree, Applied Math and Statistics, 3.8, Bachelor's degree, Applied Math and Statistics, 3.8 at Stony Brook University