Predictive Modeling and Anomaly Detection of Bay Area Rapid Transit (BART) Ridership Using Time Series Decomposition
Conducted advanced time series analysis on Bay Area Rapid Transit (BART) daily ridership data (2017-2019) using trend and seasonality linear regression models, effectively predicting ridership patterns and identifying anomalies through time series decomposition methods.