EDA and Feature engineering using Python including its libraries Pandas, Sklearn, Matplotlib and Seaborn. Dashboard using Power BI.
• Exploratory Data Analysis and Feature Engineering on Airline Data for the period of March 2019 to June 2019.
• Performed Data Wrangling and Trend Analysis on important parameters including comparison between monthly flights, Airline wise report, including the total Sales made.
• Pattern Identification on the peak arrival and departure hours in Airports.
• Comparative analysis between source and destination.
• From sklearn, did pre-processing and one hot encoding.
• Built a Power BI Dashboard to get insights on the important parameters from the flight data.
Airline Data Analysis (Power BI Dashboard).pdf
