Coursework from my M.S. in Data Analytics & Policy at Johns Hopkins University, working primarily in RStudio with packages like tidyverse, ggplot, plotly, and flexdashboard
For my Text as Data final project, I used topic modeling (LDA) on 104 FTC consumer complaints from the agency’s Operation AI Comply to study how the FTC treats “AI-washing,” finding that AI-related cases group with broader deceptive-opportunity complaints.
Read the paper →For my Text as Data course, I used tools including stop words, tokenization, and TF-IDF to explore President Obama’s executive orders, with unigram analysis across the full set of EOs and bigram analysis focused on the orders from 2015.
View the analysis →Research conducted for my Quantitative Methods course where I researched AI policy in the US, examining the relationship between American culture and policy attitudes. This project was purely theoretical, so actual data has not been included.
Read the paper →An interactive flexdashboard built for my Data Visualization final, using tidyverse, ggplot, and plotly, and published with shinyapps.io. The dashboard lets you explore different topics and findings from my research on homelessness in NYC.
Open the dashboard →An analysis of a Harvard Dataverse dataset on the political donations of board members and CEOs of Fortune 500 companies from 2002 to 2012, built with dplyr and ggplot. The publication showcases both the raw code and the resulting visualizations.
View the project →