• Developed data-driven insights from USA flights data using machine learning models and Tableau to identify specific small airlines as potential business partners and predict airline flight delays, achieving 90% accuracy.
• Led team of 4, created Python Script, harvested, and cleansed over 10 million rows of USA flight data with 50 variables using SQL and Excel VBA, guaranteeing data integrity for robust analysis.