I’m a quant who’s just as invested in words as he is in numbers. As an undergraduate, I majored in both math and English. As a graduate scholar, I worked in the “digital humanities,” publishing research that text-mined novels with machine-learning tools and experimented empirically on students’ language-processing skills. At NYC Data Science Academy, I have continued to combine these talents. One of the projects I designed processes the text of New York Times fiction reviews to analyze their effect on the Big Five publishers’ efforts to top the bestseller lists, while another is an interactive map that reveals income/neighborhood-level disparities in NYC student performance on the English and math Common Core exams.
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.
