<<<<<<< HEAD SQL Database Project

Projects

SQL Database Project

Designed a SQL database with tables, relationships, and queries to analyze sales data.

SQL Database Screenshot

Project Highlights

  • Created tables for Customers, Orders, Products, and Sales
  • Designed relationships and primary/foreign keys
  • Implemented queries for sales summaries, top products, and revenue analysis
  • Used joins, aggregations, and subqueries for advanced insights

👉 View SQL Files on GitHub

Projects

NBA Player Performance Analysis (SQL Project)

Designed and executed an end-to-end SQL data analysis project using NBA player statistics. Cleaned raw data, created structured tables, and wrote optimized SQL queries to extract meaningful insights related to player performance, experience level, and trends.

  • Created and managed MySQL database (nba_analysis)
  • Imported and cleaned CSV data using SQL
  • Used SELECT, WHERE, GROUP BY, HAVING
  • Applied JOINs and aggregate functions
  • Analyzed rookies vs veterans performance
  • Generated insights for MVP-level players

Tools: MySQL, SQL, CSV Data

NBA SQL Analysis Dashboard

🔗 View SQL Queries on GitHub

======= SQL Database Project

Projects

SQL Database Project

Designed a SQL database with tables, relationships, and queries to analyze sales data.

SQL Database Screenshot

Project Highlights

  • Created tables for Customers, Orders, Products, and Sales
  • Designed relationships and primary/foreign keys
  • Implemented queries for sales summaries, top products, and revenue analysis
  • Used joins, aggregations, and subqueries for advanced insights

👉 View SQL Files on GitHub

Projects

NBA Player Performance Analysis (SQL Project)

Designed and executed an end-to-end SQL data analysis project using NBA player statistics. Cleaned raw data, created structured tables, and wrote optimized SQL queries to extract meaningful insights related to player performance, experience level, and trends.

  • Created and managed MySQL database (nba_analysis)
  • Imported and cleaned CSV data using SQL
  • Used SELECT, WHERE, GROUP BY, HAVING
  • Applied JOINs and aggregate functions
  • Analyzed rookies vs veterans performance
  • Generated insights for MVP-level players

Tools: MySQL, SQL, CSV Data

NBA SQL Analysis Dashboard

🔗 View SQL Queries on GitHub

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