Highly organized and detail-oriented worker, with a drive to exceed expectations. Ability to analyze data, develop strategies, and provide solutions to complex problems. Seeking to leverage skills and knowledge to contribute to team success.
School Projects: Spotify ML Project, Data Science Final Project
● Used LASSO regression, regression decision trees, and a GAM on the Spotify API dataset to predict popularity based on a track's characteristics in R.
● Using Shiny & Leaflet, presented explanations in rent fluctuations from Zillow data.
Informal Projects: Tidy Tuesday Project, Instagram Direct Messaging
● Used stringr to process and classify data of folk-legends to create Leaflet interactive visualization that mapped regional trends of creatures.
● Visualized how degree of attachment between people affected texting amount and frequency in R using Excel and Python to clean and format the data.
"Newly Resurfaced" – Poem Published by Macalester Chanter Magazine, 2022