Summary
Xinchun Li (Camille) is a data scientist with nine years of experience specializing in machine learning, statistical analysis, and end-to-end data solutions across membership, insurance, travel, and finance domains. At AAA she builds high-impact predictive models and automated KPI pipelines that support marketing, cross-sell, forecasting, and operational optimization while promoting data governance and onboarding efficiencies. Her background blends rigorous academic training (MS in Information from University of Michigan) with hands-on roles in forecasting, ETL, and experimental design from internships to research, including deep learning experiments in Keras/TensorFlow. Comfortable translating complex analytics into actionable business recommendations, she frequently produces reports and dashboards used by managers and executives. Colleagues describe her as thorough, resourceful, and results-oriented—qualities she pairs with a knack for simplifying technical concepts for non-technical stakeholders. Outside work she recharges on challenging day hikes, reflecting her preference for practical problem-solving and persistence.
9 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Accounting (ACCA), Bachelor's degree, Accounting (ACCA) at Sichuan University
Master of Science in Information, Data Analytics and Information Retrieval, Master of Science in Information, Data Analytics and Information Retrieval at University of Michigan
Study-aborad program, Business Administration and Management, General, Study-aborad program, Business Administration and Management, General at Columbia University in the City of New York
Chinese, English