• Data analyzing on large data sets for almost 13 airlines and 322 airports across US using Numpy, Pandas. • Data visualization using seaborn, SciKit-Learn to select data like weekend delay, origin airport delay and more. • Build a polynomial regression model, identifying key variables, predicting behavior using python scientific libraries and machine learning techniques with almost 70% accurate result.