Taxi Organization Revenue Analysis

This project analyzes trip data from a taxi organization to identify opportunities for increasing revenue. By examining key factors such as fare amounts, trip distances, and traffic conditions, the goal is to provide actionable insights to optimize operations.

Key Insights:

• Trip Distance has the greatest impact on revenue.
• Moderate Traffic Conditions yield the highest revenue.
• Errands and Business Trips are the most profitable.
• Revenue Peaks on Tuesdays, Wednesdays, and Fridays.

Next Steps:

• Investigate non-linear relationships using machine learning techniques like decision trees.
• Explore customer segmentation for targeted service offerings.

Explore the Full Project:

For the complete project, including code and visualizations, visit the GitHub repository.

Contact:

For inquiries or collaboration, please email:
services@isaacgyane.com