Summary
Hanying Ji is a data scientist with 8 years of experience applying statistical rigor and machine learning to business problems, currently building analytics and predictive models at Aetna (CVS Health) in New York. She holds an M.A. in Statistics (Data Science track) from Columbia University and combines strong foundations in mathematics and Bayesian hierarchical modeling with practical skills in R, Python, and SQL. Her background spans web application development, ETL/reporting, and data visualization, with hands-on roles across healthcare, advertising analytics, and pharmaceutical programming. Hanying has taught and graded graduate-level regression courses, signaling clear communication and mentorship strengths alongside technical depth. A self-described “data lover,” she continuously documents growth on GitHub and brings a problem-solving mindset to translate complex models into actionable insights for industry stakeholders.
8 years of coding experience
2 years of employment as a software developer
Master of Arts - MA, Master of Arts - MA at Columbia University in the City of New York
Bachelor's degree, Bachelor's degree at Shanghai University
English, Chinese