Linlin is trained as a research economist with a background in computational modeling and statistical analysis. She has conducted research projects on exchange rate modeling, personal loan default analysis, and demand estimations using machine learning algorithms. Linlin’s projects At NYC Data Science Academy cover topics on Water Project Management, Carbon Emissions, and Higgs Boson particle identification. In addition, she has experience working with micro level banking data during her research project at the U.N.. With three years of teaching experience, Linlin is a patient and attentive team player as well as public speaker.
NYC Data Science Academy’s mission is to provide accelerated data science training programs that prepare people for employment as data science professionals and to offer continuing education courses for professional development.
