My works and Projects
Welcome to my portfolio. This section features selected projects showcasing my data analytics work experiences and skills. Each project reflects a data-driven approach to solving real problems.
Machine Learning for Feature Importance: Random Forest Classification on Service Satisfaction
Engineered a Random Forest classification model to predict binary customer satisfaction (Satisfied vs. Not Satisfied) using airline survey data. Conducted feature importance analysis to identify the top three service drivers—segmented by generation and cabin class—to prioritize strategic service investments and optimize marketing activities.
Automated Financial Data Modeling: Dynamic Sensitivity Analysis for Profit Margin Optimization
Developed a system to analyze net profit and margins for each product. Costs update automatically when ingredient prices change, and a traffic-light system highlights products at risk (red/amber) or profitable (green), supporting rapid pricing decisions and loss prevention.