Services
- ✔ Data Preprocessing and Enrichment
Cleaning, transforming, extracting, and enriching raw aviation data to ensure quality inputs for reliable machine learning models.
- ✔ Flight Delay Prediction Models (ML)
Building robuste machine learning models, such as GradientBoosting based algorithms, and deep-learning models, to predict flight delays in several flight phases and provide actionable insights for airlines and airports.
- ✔ Delay Propagation Quantification
Measuring how initial delays spread through the network and impact subsequent flights, enabling better planning and resource allocation.
- ✔ Turnaround Delay Prediction
Predicting turnaround delays (TA) to support ground operations and airport staff in optimizing processes and reducing downtime.
- ✔ ML for Optimization Acceleration
Applying ML to significantly accelerate slow mathematical optimization models (e.g., MILP, MINLP) and improve computational efficiency in disruption management.
- ✔ Custom Data Science Solutions
Delivering tailored data-driven applications for aviation and transport challenges, from analysis dashboards to predictive and decision-support services.
Extended Capabilities
The services can also be extented to a wide range of aviation analytics projects, including fuel consumption prediction, cost forecasting, flight cancellation or deviation detection, and passenger connection risk prediction. The focus remains on developing robust, data-driven systems that improve operational performance, reduce uncertainty, and support proactive decision-making across the aviation ecosystem.