Yingjue Zhou

Yingjue Zhou is a seasoned professional with over 7 years of hands-on experience in operation research and data science, specializing in optimization, simulation, and forecasting. Proficient in formulating analytical models, creating decision support systems, strategic planning, and tactic planning.

Yingjue Zhou's skills encompass a wide range of areas including optimization techniques such as Linear/Non-linear/Integer Programming, Metaheuristic, and Simulation based Optimization. Additionally, expertise in data science and statistics covering Regression, Classification, Bayesian Inference, and A/B Testing. Proficient in various programming languages including Python (pandas, scikit-learn), SQL, C#, C++, Java, and adept at utilizing technical tools like Teradata, Tableau, and Gurobi. Familiar with numerous software environments and platforms such as VS Code, Jupyter Notebook, Visual Studio, Eclipse, Matlab, Mathematica, and SAS (Base) 9.0. Experienced in Supply Chain Guru and MS Office Suite.

Yingjue Zhou pursued a Doctor of Philosophy (Ph.D.) degree in Industrial Engineering and Management at Oklahoma State University. Throughout their career, they have held key roles such as Lead Data Scientist at Macy's, Data Scientist at Sears Holdings Corporation, Operations Research Developer at Deccan International, and Graduate Research Assistant at both Oklahoma State University and Automation R&D Institute of Metallurgical Industry. Previously, they also served as a Project Manager at China Huaneng Group.