Projects
A Higher Revelation: An Algorithmic Predictor of User Music Preferences
After learning that Spotify offers an API for developers, I saw an opportunity for my love of data science to intersect with my love of music. Using this API, I analyzed my music preferences and trained machine learning algorithms to predict whether I would enjoy a given track.
Wherefore Art Thou, RShiny?
I teamed up with classmate Melissa Zavez to create this interactive application for our Data Science class. This app was designed to help users streamline the decision-making process behind the planning that leads up to a date. Our classmates voted this project as Best Use of Interactivity.
A Rose is a Rose is a Rose
For our Data Science class, my classmate Charlie Levitt and I studied how the student bodies of Ivy League colleges varied from those of public colleges within our home states. We also took a glimpse at the differential effects of the Great Recession on how students at these schools financed their education.
The Economics of Majoring in Economics
My classmate Jonathan Kay and I teamed up to explore the financial payouts of different college majors across the United States. The contents of this project were used to help me win a debate with my mother, which speaks to the quality of the analysis performed by Jon and me.
The Evolution of Major League Offenses
Unsure of what to do with my newly-found free time between the end of a semester and the start of an internship, I decided to create this interactive app to allow users to visualize historical trends in various measures of Major League offensive production over time.
Principal Component Analysis Tutorial
With my classmates Andrew Choe and Jon Kay, I wrote this tutorial explaining the concept of principal component analysis and how to implement this analysis technique in R.