Summary
Xiaoming Wang is a data-focused analyst and Education Ambassador based in Philadelphia with nine years of experience bridging finance, mathematics, and data science. Trained at Arizona State University and Foothill College, Xiaoming applies Python, R, Pandas, SQL, and Tableau to uncover insights from structured and messy datasets and has practical experience with Monte Carlo simulations, logistic regression, and machine-learning-driven stock analyses. Past roles in finance consulting and campus academic support sharpened his ability to translate quantitative findings into actionable investment and educational outcomes while collaborating across diverse teams. Currently advancing fintech and blockchain skills— including smart contract and ledger projects—he combines rigorous analytical discipline with a knack for finding underappreciated signals in noisy data.
9 years of coding experience
Bachelor's degree, Data Science, Bachelor's degree, Data Science at Arizona State University
Certificate, Fintech, Certificate, Fintech at 美国亚利桑那州立大学
Associate of Science - AS, Mathematics, Associate of Science - AS, Mathematics at Foothill College
Bachelor's degree, Law, Bachelor's degree, Law at Northwest Normal University