Harnessing Data Analytics for In-Depth Cricket Insights

In this project, I designed and implemented a comprehensive data analytics pipeline to extract, analyze, and visualize cricket performance metrics, specifically focusing on the T20 World Cup (2022). By leveraging advanced data collection and visualization techniques, the project delivers meaningful insights into cricket performance.

Key Innovations and Achievements:

• Data Extraction and Transformation:
  Utilized web scraping techniques to extract match and player statistics from ESPN Cricinfo, and employed Python and Pandas for efficient data cleaning and transformation.

• Interactive Visualizations:
  Built dynamic dashboards using Power BI to provide actionable insights, including the creation of a hypothetical "Best XI Players" team based on performance metrics.

• Secure Website Integration:
  Developed a secure, user-friendly website where users can log in with a username and password to access the Power BI dashboard, ensuring data privacy and secure interactions.

• Cloud Deployment:
  Integrated cloud hosting services to deploy the website and ensure seamless accessibility, high performance, and scalability.

• Enhanced Data Collection:
  Leveraged Bright Data to optimize data collection processes, enabling comprehensive and accurate analysis of cricket statistics.