As I delve deeper into the realm of coding and generative AI capabilities, I’ve stumbled upon a unique intersection of data science and personal taste. This blend provides a window into one of my deepest inclinations: music. In collaboration with ChatGPT’s data analysis tool, I embarked on a quest to decode my musical preferences — a dataset from my “liked” playlist on Spotify.

This dataset is more than a collection of songs, artists, and albums; it’s a tapestry of my life’s soundtrack, tracing back to my early teens. Using advanced analytics, the AI didn’t just enumerate my favourite artists and albums but ventured further into a thematic odyssey, exploring underlying elements like “energy” and “danceability” that thread my tracks together.