In this project, I explore the heart of Country music through a curated playlist of 200 songs spanning the years 1949 to 2024 featuring 50 artists, applying natural language processing techniques to explore what lies beneath the twang.
Focusing on 20 different themes such as Love, Emotion, Conflict, and Family, I examined how themes have intertwined and shifted as the genre continues to evolve over time and across generations of performers.
My project highlights my experience with the culturally and historically significant voices of Country artists.
Classifying Country Music
Dive Into My Projects
Investigating Inflation
I researched the 10 Year Breakeven Inflation Rate and Oil Price changes, combining time series techniques to deepen understanding of fiscal policy.
Movies & Machine Learning
I built machine learning models and trained them on a collection of movies to see how likely I am to re-watch some of my favorite films.
Diamonds In Our Hands
I explored how LLMs can be used to analyze user reviews and evaluate investor sentiment related to brokerage apps.
Manhole Bingo
I designed a Tableau dashboard that maps the location of artistic manhole covers across Seattle, bringing more attention to this public art.
Encore
In this dedicated section, I reflected on underling themes present throughout some of my favorite Country songs using data analytics and visualizations.
Riffs
If you’re interested in learning more about how I think, then please explore my blog where I have written stories about music and my life.
