Xihui Dong is a Senior Data Scientist at Duke Energy with seven years of industry experience, applying data analytics and machine learning to energy systems. Based in Charlotte, NC, she brings a strong foundation in mechanical engineering (PhD from the University of South Carolina) and cross-disciplinary training in data science (Johns Hopkins Data Science Specialization; MS in Materials Science from Zhejiang University) to bridge academic rigor with practical decision-making. She excels in Python, R, and SAS for exploratory data analysis, data mining, and building/validating predictive models, translating complex results into actionable insights for stakeholders. Her background includes research roles as a Postdoctoral Research Associate and Research Assistant at USC, reflecting a track record of rigorous analysis and communicating findings effectively. In industry, she has been shaping data-driven strategies at Duke Energy since 2019, focusing on scalable analytics and ML applications in energy. Notably, her profile suggests a rare combination of deep engineering knowledge and hands-on data science, enabling robust, explainable models that support critical infrastructure decisions.
7 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (PhD), Mechanical Engineering, Doctor of Philosophy (PhD), Mechanical Engineering at University of South Carolina-Columbia
Johns Hopkins University
Master of Science - MS, Materials Science and Engineering, Master of Science - MS, Materials Science and Engineering at Zhejiang University
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