Yiming is a data science fellow in NYC data science academy. He is always passionate about machine learning, data visualization, and coding reusable scripts. He received his Ph.D. degree in Electrical Engineering from the Université de Technologie Belfort-Montbéliard, Belfort, France. The thesis was mainly focused on the identification of the degradation mechanisms in the fuel cells, and the data-driven performance degradation prediction using vector machines (SVM and RVM). He is an eager problem solver who can extract useful information and insights from different complex datasets in a variety of fields. He used to be professional in clarinet and piano before master. When he's not doing data, he always loves writing some jazz for fun.
