https://github.com/shivm-sb-07/rapido_data_analyst_project
The Rapido's Data Analyst Project involves analyzing ride service data to create interactive Power BI dashboards, visualizing key metrics like revenue trends, ride patterns, and driver performance. These dashboards enable data-driven decision-making and operational efficiency for Rapido.
https://github.com/shivm-sb-07/rapido_data_analyst_project
excel powerbi python3 sql workbench
Last synced: about 1 year ago
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The Rapido's Data Analyst Project involves analyzing ride service data to create interactive Power BI dashboards, visualizing key metrics like revenue trends, ride patterns, and driver performance. These dashboards enable data-driven decision-making and operational efficiency for Rapido.
- Host: GitHub
- URL: https://github.com/shivm-sb-07/rapido_data_analyst_project
- Owner: shivm-sb-07
- Created: 2025-01-10T08:52:54.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-01-11T05:18:44.000Z (about 1 year ago)
- Last Synced: 2025-01-27T09:12:49.187Z (about 1 year ago)
- Topics: excel, powerbi, python3, sql, workbench
- Homepage:
- Size: 4.47 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
##
The Rapido's Data Analyst Project focuses on analyzing ride service data to derive actionable insights and present them effectively using Power BI dashboards. This project aims to enhance business decision-making by visualizing critical metrics such as ride patterns, revenue trends, customer behavior, and driver performance. The dashboards offer an interactive, real-time view of the key performance indicators (KPIs) to enable strategic planning and operational efficiency for Rapido.
## Features
1. Objective:
- Analyze Rapido's ride service data for performance insights.
- Develop dashboards to track metrics such as revenue, bookings, peak hours, and customer satisfaction.
2. Tools and Technologies:
- Power BI for data visualization.
- Data sources: CSV files, SQL databases, or APIs for ride data.
3. Key Features of the Dashboards:
- Ride Analysis:
- Daily, weekly, and monthly ride counts.
- Peak hours and popular routes.
- Revenue Metrics:
- Revenue trends over time.
- Average fare per ride.
- Customer Insights:
- Active vs. inactive users.
- Customer satisfaction scores (CSAT).
- Driver Performance:
- Top-performing drivers.
- Average trip time and distance.
## Skills Highlated
- Power BI dashboard creation and report automation.
- Data cleaning and preprocessing.
- KPI analysis and performance tracking.
- Storytelling through data visualization.
## Screenshots
