BCYCLE ANALYSIS

This project focused on analyzing data from a bike-sharing system to uncover patterns in user behavior and optimize operations. By leveraging tools such as Python, Pandas, and Matplotlib, I performed exploratory data analysis (EDA)to identify trends in ridership, peak usage times, and popular stations. Insights from the analysis were used to propose strategies for improving bike availability and customer satisfaction. This project demonstrates expertise in data analysis, visualization, and actionable decision-making based on real-world data.