DATAENTHUSIAST

Built a machine learning pipeline to predict bank customer churn using Random Forest. Includes thorough data preprocessing, EDA, class imbalance handling, and learning curve validation to optimize AUC scores.

Classification project for detecting cancer types from medical data. Experiments with several classification algorithms and focuses on accuracy, recall, and confusion matrix analysis.

Market analysis of 65,000+ Steam games — data sourced from the STEAM API, cleaned, analysed with EDA, and visualised in Power BI for deep insights into pricing, genres, and release patterns.

Helps pizza owners determine performance in 2015 by focusing on revenue, order volume, and customer preferences to identify top sellers and discontinue underperforming items.