A short summary of my experiences
For Spring of 2024, I worked with a group to create an application consisting of a frontend and backend to predict the rate of fuel based on client info, gallons requested, and company profit margin.
For this project I worked closely with a group in order to complete a project analyzing data involving attributing factors to the availability and usage of electric vehicles. In doing so, we worked with multiple linear regression and regression tree methods.