In this project, we designed and implemented a typical data science workflow, including data cleaning, visualization, exploratory data analysis, feature selection, and modeling. For this project, we explored traffic data provided by the Uber Movement dataset, specifically around the start of COVID shutdowns in March 2020. Through a series of guided and open ended EDA and modelling, our group was motivated in understanding how median income of a census tract impacted the travel time of the area in a pre and post COVID world.