The simulation provided a realistic end-to-end data science workflow. I enjoyed working on data preprocessing, feature engineering, model building, handling class imbalance with SMOTE, hyperparameter tuning, and evaluating multiple machine learning models. It was practical and helped strengthen my understanding of solving real-world business problems.

I particularly enjoyed solving a real-world business problem using data. Building and evaluating machine learning models, interpreting feature importance, and balancing technical performance with business objectives made the simulation engaging and practical. It gave me valuable insight into how data science is applied within the airline industry.

The British Airways Data Science project was a comprehensive and insightful experience. The team's attention to detail and thorough analysis provided valuable insights and actionable recommendations. The project demonstrated a strong understanding of data science principles and their application in the aviation industry. Well done!