An extensive music data analysis and recommendation project, encompassing data scraping, cleaning, predictive modeling, clustering, and interactive data visualization

Empowering football analytics through Transfermarkt data crawling, robust database design, and advanced analytics, yielding valuable insights and accurate predictions

Performed data pre-processing, optimized data warehousing, applied statistics and machine learning, and used Power BI for insightful visualizations to support informed decisions

Working with patient datasets and calculating their Apache II and III scores