Yueming Sun is a data analyst with 11 years of experience applying quantitative and qualitative methods to drive program and system improvement for public-sector organizations in Syracuse. With graduate training in information technology and data science from Syracuse University and specialized certificates from Penn State and Harvard, she builds repeatable analysis pipelines, predictive models, and stakeholder-facing tools that translate complex data into actionable insights. Her work includes deploying a vacancy prediction model using R, Python and Weka for city planning, maintaining assessment databases for a school district, and coaching students in data mining competitions—evidence of both applied technical skill and pedagogical strength. Comfortable working across research, policy, and operations, she combines academic rigor with hands-on system installation and training to ensure analytic solutions are adopted.
11 years of coding experience
Master's Degree, Information Technology, 3.861, Master's Degree, Information Technology, 3.861 at Syracuse University
Master's Degree, Library and Information Science, Master's Degree, Library and Information Science at Chongqing University
Applied Statistics Certificate, Statistics, Applied Statistics Certificate, Statistics at Penn State World Campus
Bachelor's Degree, Management Information Systems, General, Bachelor's Degree, Management Information Systems, General at Yanbian University
Strategic Data Program, Education Policy Analysis, Strategic Data Program, Education Policy Analysis at Harvard University
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