Nanqin Ying

Job title:

Data Science Fellow 2024

Department:

Goldman School of Public Policy

Bio/CV:

Nanqin Ying, a second-year graduate student at the Goldman School of Public Policy specializing in Development Practices, combines a robust nonprofit background with advanced data science techniques. She focuses on leveraging machine learning and big data to drive significant social change, aiming to transform insights into actionable, positive impacts on communities.

Research interests:

Applied Machine Learning, Big Data, Development Practices

Role:

Data Science Fellow

Topics

Data Science topic page, Data Visualization topic page, Databases & SQL topic page, Git or Github topic page, LaTeX topic page, Machine Learning topic page, Python topic page, R topic page, Tableau topic page