A comprehensive data science investigation into the New York City Airbnb Open Dataset. Applied rigorous data cleansing pipelines, multi-stage outlier elimination (IQR & Z-score), spatial geocoding visualizations, and feature engineering to uncover neighborhood pricing premiums, seasonality patterns, and listing availability dynamics across the 5 boroughs.