Engineering Precision: Building a Scalable Delay Prediction Engine for 628,000 Flights

Building reliable flight delay predictions requires moving beyond simple averages to sophisticated bucketing by route, carrier, and time-of-day. This implementation demonstrates how specific architectural choices, such as 3-hour windows and standardized 'on-time' thresholds, transform raw scraped data into actionable traveler insights. It highlights the critical role of domain-specific logic in creating high-utility data products in the travel industry.