NBA Player Analysis
Built an interactive web application using Python to visualize NBA player statistics, integrating the nba_api library for real-time data retrieval. The project utilized PostgreSQL for robust data storage and management, implementing efficient data insertion and retrieval processes to handle player statistics and game logs. For data analysis and visualization, I used Jupyter Notebook and libraries like Pandas to generate dynamic, user-friendly visualizations of player performance metrics. I also planned the deployment of the application on Microsoft Azure for scalable and reliable cloud-based operation, preparing the project for future real-world applications in educational contexts.
