As part of my Bad Bunny Sprint in late 2025/2026, I made the following network diagram for albums from 2020-2025. Data for both YouTube and Spotify show the impressive amount of listeners across Bad Bunny's over 200 songs that have data. He receives about 100 million weekly views on YouTube and 400 million weekly listens on Spotify <<Data Studio>>. With more around the Super Bowl/Grammy "bump". Skills used for this sprint included using AI, database setup, cleaning and standardizing unstructured data, and visualization. Tools used include: GEPHI, Google Sheets, Python, APIs, GitHub and Adobe Illustrator. Thanks to kworb.net for the data!
updated April 2026
Nao Labs (open source agent that I use with Claude as the model)
I began working with Bad Bunny data in 2025 for a few reasons. 1. I like his music. 2. Working across Spotify and YouTube data seemed like an interesting data challenge. 3. I was curious to dig into network diagrams. Lastly, in an effort to see to what extent I can leverage AI into my work, I took the past few weeks to build a solid and clean data set with AI using my previous Bad Bunny work. Below is an interactive dashboard using data I curated available at Bad Bunny github. Tech I have used for this includes: APIs, Google Sheets and Scripts, Python, Claude/Gemini, MicroSoft Visual Studio
updated September 2026
Below is an interactive map focusing on Open Markets in Montpellier and the hours they are open, number of vendors, and neighborhood. I spend a lot of time at open markets especially the Beaux-Arts one. My goal is to do a time-series related visualization that shows foot traffic flux around these markets. This came about from me being at the open markets and being fascinated by the flow of humans and interactions, which to me makes these markets super rich in experience.
updated June 28, 2026
https://data.montpellier3m.fr/dataset/marches-et-halles-de-montpellier (data source) - updated May 21, 2026