• Analyzed over 35 million U.S. flight records using Python to uncover the primary drivers of delays and assess overall operational performance. • Managed complex data workflows, executing large-scale cleaning, exploratory data analysis (EDA), and advanced feature engineering. • Built and optimized machine learning classification models to accurately predict flight diversions. • Designed interactive visualizations to translate statistical trends into actionable business insights. Tech: Python, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Jupyter Notebook