As part of my coursework in data science, I analyzed Uber ride data in New York City. This analysis involved collecting and cleaning large datasets, performing exploratory data analysis, creating visualizations, and conducting spatial analysis. This paper presents key findings and insights on the usage patterns of Uber across different areas and time periods in the city. Throughout this project, I applied various data science techniques and tools, and demonstrated my ability to work with real-world data and draw meaningful conclusions from it.