Summary
Xinyu H is a planning engineer and full-stack developer with a Master of Quantitative Finance from Washington University in St. Louis and eight years of cross-disciplinary experience spanning finance, manufacturing, and software. They blend computer science rigor with quantitative modeling—having built LSTM-based crypto prediction pipelines, performed feature selection with RankIC and LassoCV, and produced interpretable Random Forest models for CRE pricing. At Fuyao Glass Corporation of America they apply data-driven planning and at prior roles they delivered climate risk geospatial analyses and market-entry strategy recommendations. Xinyu has taught database design, SQL, Python, and deep learning, signaling an ability to translate technical concepts for diverse audiences. Comfortable moving between hands-on coding and business analysis, they surface actionable insights from messy, minute-level and enterprise datasets. A subtle strength: they pair investment-bank style data diligence with manufacturing planning pragmatism to bridge analytics and operations.
8 years of coding experience
Bachelor of Engineering - BE, Computer Science and Technology, 3.64/4.00, Bachelor of Engineering - BE, Computer Science and Technology, 3.64/4.00 at Central University of Finance and Economics
Master of Science - MS, Quantitative Finance, 3.74/4.00, Master of Science - MS, Quantitative Finance, 3.74/4.00 at Washington University in St. Louis
High School Diploma, High School Diploma at Tsinghua University High School