Ke Ji is a Principal Data Scientist at American Family Insurance, who has extensive experience leading and managing teams in developing innovative solutions for various business needs. With a background in statistics and a strong skill set in NLP, Machine Learning, and data analysis, Ke has successfully implemented advanced techniques to optimize accuracy and efficiency in data extraction and classification. Their impressive track record includes building SVM classifiers and developing multi-class classification models to improve efficiency and accuracy in categorizing unstructured text data. Additionally, Ke has a solid educational foundation from top institutions such as Harvard Business School and a strong expertise in technical project management and IT architecture.
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