Chris is a diligent and insightful data scientist working who enjoys working in a team to achieve data-driven solutions. His last job was working as a survey analyst for Hillary For America’s political campaign, using daily polling data to visualize trends for intelligent decision making. His capstone project included an unsupervised cluster analysis of demographic and economic data by county to discover which candidates succeed in the 2016 primary and general election. In his free time, he enjoys playing golf and caring for his toy poodle, Trinity.
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.
