Data Analyst and graduate student in Applied Data Science at Howard University with a focus on using data to tell stories about inequality, space, and community change. My work is rooted in understanding how systems like education and urban development shape outcomes, particularly for Black communities. I use statistical analysis, spatial data, and visualization to connect data to lived experience and highlight patterns that are often overlooked.
This capstone project examines how the Atlanta BeltLine has influenced housing costs and racial composition across neighborhoods over time. Using census tract data from 2000, 2010, and 2020, the analysis focuses on changes in median income, rent, and demographic patterns in relation to proximity to the BeltLine.
These results suggest that redevelopment is closely tied to rising housing costs and demographic change, particularly in historically Black communities.
Read the Full Computational Social Justice Analysis
View Full Statistical Analysis Notebook
View Machine Learning Notebook
This project analyzes how race and poverty affect federal education funding across over 11,000 public school districts in the United States. The study investigates whether schools serving predominantly minority students are more likely to rely on Title I funding and how funding disparities align with socioeconomic conditions.