d3-spotify-genres
A web-based visualization tool that uses D3.js to showcase Spotify listening history by analyzing and categorizing favorite music genres.
I'm a Software Engineer and currently living in Brisbane, AU.
I mainly build and develop applications using Node.js (with TypeScript), Python, and Java. I'm also passionate about cloud computing technologies and computational learning. Currently exploring ways to use data to tell engaging and insightful stories.
In my spare time, I create content for my blog where I discuss other projects I've been working on, interesting problems I've had to solve, and create tutorials to educate, and help others use various technologies for the first time or in a more efficient manner.
My attempt to apply UMAP (Uniform Manifold Approximation and Projection), a dimensionality reduction technique, to visualize and represent popular films scraped from Letterboxd in 2024. See more here.
A web-based visualization tool that uses D3.js to showcase Spotify listening history by analyzing and categorizing favorite music genres.
An HTTP server designed to handle request streaming for a Graph Convolutional Network (GCN) machine learning algorithm. Deployable with Docker for easy setup and scalability.
A program that can scrape Letterboxd lists from an input URL. The output CSV or JSON contains information about the film title, release year, director, cast, personal rating, average rating and a lot more.