Modeling Urban Traffic Flow
Modeled urban traffic dynamics using NYC taxi data, applying nonlinear speed-density relationships to identify a critical congestion threshold and analyze system efficiency.
I build projects across analytics, modeling, and data systems. Recent work includes traffic flow, SQL warehouse design, forecasting, and topological analysis of music.
Modeled urban traffic dynamics using NYC taxi data, applying nonlinear speed-density relationships to identify a critical congestion threshold and analyze system efficiency.
Built a SQL-based analytics warehouse from raw e-commerce data, designing fact and dimension tables to analyze revenue, customer behavior, and fulfillment performance.
Analyzed NYC taxi trip data to uncover demand patterns and congestion trends, then built time series models to forecast short-term ride volume.
Applied topological data analysis to music data, using persistent homology to explore the geometric structure of Ethiopian Jazz and map abstract features to individual tracks.
I’m interested in projects that make structure visible, whether that means finding signal in messy operational data or using more abstract tools to understand shape, flow, and variation. My background is in data analysis and operations, and I’m especially drawn to work that combines clarity with deeper modeling.