Architecture & Scope
Exploratory Airline & Sales Analytics
Comprehensive exploratory data analysis (EDA) deciphering price fluctuations, passenger volumes, and seasonal revenue trends.
Processed real-world multi-dimensional datasets using Python data science libraries. Handled missing data, engineered flight duration metrics, extracted correlation matrices, and compiled executive-ready visual presentations.
Technical Execution & Highlights
Automated data cleaning, outlier treatment, and distribution standardization
Correlation heatmaps and multi-variant distribution plots via Seaborn
Actionable pricing strategy recommendations based on statistical findings
Technologies & Libraries
Python
Pandas
NumPy
Matplotlib
Seaborn