Sun-joo Lee is a data science specialist with nine years of experience applying machine learning, NLP, and scalable cloud architectures to international development, humanitarian response, and education. At UNDP she leads crisis risk and conflict analysis using PySpark on Databricks and has built semi-automated situational reporting tools with LLMs in a RAG framework for near real-time insights. Her background in M&E at the World Food Programme and research roles informs pragmatic pipeline and survey design—she couples rigorous public policy training from the University of Chicago with hands-on engineering in Python, R, and ETL automation. Sun-joo has translated complex field needs into reproducible analytics and open-source R packages for large-scale education data, and she excels at cross-sector collaboration that moves models from prototype to operational use. Not obvious from titles alone, she blends field-facing program monitoring experience with advanced ML productionization, enabling data products that directly influence policy and humanitarian programming.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Arts (B.A.), Division of International Studies, Bachelor of Arts (B.A.), Division of International Studies at Ewha Womans University
Master of Science (M.S.), Computational Analysis and Public Policy, Master of Science (M.S.), Computational Analysis and Public Policy at The University of Chicago
Contributions:2 PRs, 32 pushes, 1 branch in 2 years 5 months
leeclass-projectcontent-analysissunvictor
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