Developed an interactive web page to visually display my historical Spotify usage, giving a data-driven insight into my listening habits. The application updates in real-time to allow users to see when I'm currently listening to music. The frontend was built using HTML and CSS, and JavaScript and Node.js with the Express framework were used for the back-end development. Utilized the spotify API to query real-time data and MongoDB to store historical results. This is currently hosted above, check it out!
Worked with a team to extract Covid data from 3 disparate sources into a data lake using Azure Data Factory. Then transformed the data and loaded it into Azure Synapse for big data processing. Finally analyzed the data using Power BI to determine the 3 most effective policies for slowing the spread of Covid.
The website you are currently reading this on. Created with Node.js and express for the backend, and HTML and CSS for the frontend. Hosted on AWS lightsail.
Created a python script to sort spotify playlists by color. Utilized PIL Python library and K-Means clustering technique to determine an image’s dominant color as a sorting metric and used Spotify's API to update the playlist.
Congratulations on reaching the bottom of the page! Here's a small collection of images from Maine (where I'm from), and Boston (where I go to school).