Huating S. is a skilled data professional with a Bachelor of Science in Geographic Information Systems from the University of Washington and is currently pursuing a Master's in Healthcare Analytics and Information Technology at Carnegie Mellon University. Experience includes roles as a Data Scientist Intern at gigturbo, where a retrieval-augmented generation pipeline was developed for a chatbot, and as a Data Science Research Assistant at the University of Washington's School of Medicine, focusing on the impact of online forums for caregivers. Additional internships at Kaiser Permanente involved leveraging SQL and Python for data preprocessing, while a position at Simply Compliance involved engineering document processing systems for regulatory texts. Previous experience also includes leadership in machine learning projects for heart disease prediction and contributions as a Business Data Analyst Intern at CDH Investments, analyzing operational data for investment strategies. Currently, Huating S. serves as a Data Analyst at Meta and as a Graduate Teaching Assistant at Carnegie Mellon University.
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