For this project, I worked with a graduate student at the Duke Law School to perform exploratory analysis on loan backed fine art. As a topic that has minimal prior research, this project was particularly interesting as we had to create and collect out own datasets and provided original insight in the topic. Through our analysis, we were able to find that collateralized works tend to sell for a higher hammer price and that the volume of art backed loans negatively correlates to the housing market. This project demonstrates the following technical skills: - Collecting and cleaning data - Advanced statistical modeling - STATA - Excel - Working with financial time-series data
First and foremost, thank you for visiting my website! This is where you can learn more about who I am as well as take a look at the past projects I have worked on regarding data analytics/science.