1) Peak Demand Analysis: Conducted an in-depth analysis of bike demand fluctuations across different times and locations to identify peak usage periods. Utilized advanced data visualization tools to present findings effectively. 2) User Behavior Study: Investigated behavioral differences between subscribers and casual customers, shedding light on demographic influences on bike usage. This analysis provided actionable insights for targeted marketing strategies. 3) Geographical Optimization: Leveraged geographical analysis to uncover patterns in bike usage, leading to optimized station placement for enhanced accessibility and user convenience. 4) Weather Impact Assessment: Analyzed the influence of weather conditions on bike usage trends and commuting behaviors. This comprehensive study helped in understanding the correlation between weather patterns and bike demand, aiding in better operational planning.
Feb 01, 2024 - Apr 30, 2024