Diamonds in our Hands
As someone who loves following the financial markets, I explored how Large Language Models (LLMs) could be used to analyze user reviews and evaluate investor sentiment related to brokerage apps.
I outlined an architectural diagram to showcase practical applications of LLMs in evaluating Ease-of-Use sentiment found in mock-up Google Play Store reviews of Robinhood, E*Trade, and IBKR Mobile.
I created data-visualizations showcasing how review sentiment can be analyzed efficiently to detect trends in the most frequent praise or criticism of the app’s UI/UX.
Dive Into My Projects
Classifying Country Music
I discovered the heart of Country music through applying natural language processing to explore what lies beneath the twang.
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.
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.
