About The Project
AirFly is a comprehensive data science and business intelligence project conducting a massive exploratory analysis across 16 years of flight record histories. Spanning millions of data points, the pipeline reveals hidden seasonal patterns, correlates weather events with airport choke points, evaluates carrier efficiency, and provides actionable operational insights for airlines seeking to optimize arrival rates.
Key Features & Architecture
Big Data Optimization
Parallel loading and processing using optimized Pandas and NumPy vectors
Exploratory Data Analysis
Deep trend discovery identifying the most delay-prone travel seasons
Weather Correlation Pipeline
Merges flight databases with regional climate records
Operational BI Visualization
Custom data maps, scatter distributions, and carrier dashboards
Outlier Detection Filters
Cleans reporting matrices of extreme weather anomalies