Using Metro Transit's 2016 customer satisfaction survey, we applied a clustering algorithm to segment transit riders based on the attitudinal questions. A Bayesian logistic regression is then applied in order to profile each of the clusters.
Kim is currently a data scientist at UnitedHeatlhcare. Prior to joining UnitedHealthcare, she worked in the Research & Analytics team at Metro Transit.
