๐ŸŽ‰ Excited to Share My Latest SQL Project! ๐Ÿ•

I've recently completed an extensive SQL project analyzing PizzaHut sales, taking a deep dive from basic queries to advanced analytics. ๐Ÿš€

This project was not just about writing SQL queries but about unraveling the stories hidden in the data. Hereโ€™s a sneak peek into what I explored:

๐Ÿ” Data Insights:

  • Sales Trends: Identified peak sales periods and seasonal trends.
  • Customer Preferences: Analyzed popular pizza types and customization preferences.
  • Operational Efficiency: Assessed delivery times and optimized supply chain processes.

๐Ÿ› ๏ธ Techniques Used:

  • Joins & Subqueries: To combine data from multiple tables seamlessly.
  • Aggregations & Grouping: For insightful summaries and detailed reports.
  • Window Functions: To track sales trends over time.
  • CTEs & Recursive Queries: For complex hierarchical data handling.

โœจ Highlights:

  • Unveiled actionable insights that can drive strategic decisions.
  • Improved data-driven decision-making capabilities.
  • Enhanced my SQL proficiency with hands-on problem-solving.

A special thank you to Ayushi Jain ma'am and WsCube Tech for their invaluable guidance and support throughout this journey. Your mentorship and resources were instrumental in achieving these results.

This journey has been incredibly enriching, and I'm thrilled to continue exploring the power of data analytics. If you're passionate about data and analytics, I'd love to connect and share insights!

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