Skip to content
Yanqing Kuang
Yanqing Kuang

Yanqing Kuang

Senior Data Scientist on the Operational Research and Advanced Analytics team
American Airlines
Bio

Yanqing holds a Ph.D. in Industrial Engineering from the University of South Florida and is now a Senior Data Scientist on the Operational Research and Advanced Analytics team at American Airlines, where she develops and deploys machine learning and AI-driven models and tools to support business decisions related to network and revenue planning.

An Ensemble Machine Learning Engine for Predicting Flight Revenue to Enable Dynamic Flight Scheduling at American Airlines: From Concept to Deployment


An Ensemble Machine Learning Engine for Predicting Flight Revenue to Enable Dynamic Flight Scheduling at American Airlines: From Concept to Deployment

Featuring: Upasana Raval

At American Airlines, we’re transforming how flight schedules are planned and evaluated through a cutting-edge platform developed in collaboration with Palantir. This “one-stop shop” empowers planners and schedulers to assess flight schedules in minutes—balancing operational feasibility, profitability, and robustness.

A key component of this platform is the engine that predicts flight-level revenue, enabling analysts from crew and network planning teams to assess the profitability of flight schedules dynamically with respect to changes. The engine uniquely leverages concepts from optimization, econometrics, and machine learning to provide flight revenue prediction with 95% accuracy. In this session, we’ll walk through our end-to-end engine development and deployment journey—from training ensemble CatBoost models and interpreting results using SHAP, to leveraging Palantir Foundry for scalable experimentation and deployment, and packaging the core logic for seamless integration across platforms and applications

Essential / Professional