Portfolio Projects

• SAAM: Music Listening History
  Shiny App
  -The data that powers this app came from four separate Google sheets (Songs, Artists, Albums, Miscellaneous). Google Sheets was starting to have stability trouble since the sheets were so large (data on thousands of songs recorded each month for about 10 years). The main goal of the application is to present the data to a viewer in a clean, easy-to-access manner. The user should ideally be able to think of a song, artist, or album and see if the song is in the data set and any statistics on that song.
  -Link to app
  -Link to GitHub repository

• Statistical learning project on classifying patients for pancreatic cancer based on urinary biomarkers
  -Methods used: gradient descent, k-Means, support vector machine (SVM)
  -Stored in both Jupyter notebooks and Python files. The data that is used can be found at Kaggle at https://www.kaggle.com/datasets/johnjdavisiv/urinary-biomarkers-for-pancreatic-cancer
  -Link to GitHub repository

• Tableau Dashboard examples
  -I completed a series of tutorials on Tableau, and some of the dashboards I created are available for public viewing. More coming soon!
  -Link to public dashboards
  

• More portfolio examples coming soon!