Summary
Siming Zhang is an Artificial Intelligence Engineer with a decade of experience applying statistical modeling and machine learning to real-world business problems, currently based in Miami and working at Huawei. With Master's training in Business Analytics and a Bachelor's in Applied Statistics, Siming has built high-accuracy models—ranging from a top-10% Kaggle competition entry that cleaned 180M+ rows to production-focused Random Forest sales forecasts used to segment stores and drive a 5% uplift. Proven across industries (telecom, retail, energy, academia), Siming combines strong Python/R/SQL skills with hands-on experience in data cleaning, resampling for imbalanced classes, and model deployment workflows. Notably, Siming balances industry roles with academic ties as an Assistant Professor at Dartmouth, reflecting a blend of research rigor and practical impact.
10 years of coding experience
Bachelor's degree, Applied Statistics, Bachelor's degree, Applied Statistics at Sun Yat-Sen University
Master's degree, Business Analytics, Master's degree, Business Analytics at University of Miami