Sunne Kuo is a data scientist with a decade of experience applying analytical rigor to health insurance and consulting problems, transitioning from an actuarial analyst role at Anthem/Connecticut Blue Cross Blue Shield into data science. She has deep experience querying and modeling large healthcare datasets using Python (pandas, numpy, scikit-learn), SQL, and Excel, and has built practical ML solutions including a fraud-detection neural network prototype and NLP/text-mining projects. Her consulting stints at Bain and Deloitte reinforced her ability to translate complex analytics into business recommendations and to deliver geospatial, forecasting, and visualization work for diverse clients. Based in New York, she complements technical work with teaching and tooling experience (Tableau training, Metis bootcamp projects) and a persistent curiosity for new languages and technologies evident in cross-domain projects from insurance reserving to recommender systems.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Arts (B.A.), Statistics and Chinese, Bachelor of Arts (B.A.), Statistics and Chinese at Rutgers, The State University of New Jersey-New Brunswick
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