I liked that the simulation provided **hands-on experience with data analytics and AI**, from exploring customer data and identifying risk factors to designing a predictive model and an AI-driven collections strategy. It also helped me understand how **AI insights can be translated into practical business decisions while considering fairness and responsible AI**.

I really appreciated how realistic the data packet and stakeholder dynamics were. Instead of just focusing on textbook formulas, the simulation required balancing quantitative metrics (like EAC and CPI) with qualitative vendor issues and risk mitigation. It provided a great, hands-on perspective into the strategic responsibilities of a Commercial Project Manager.

I enjoyed the practical, real-world approach to commercial project management. The simulation helped me understand how KPIs, financial forecasting, risk management, and stakeholder communication come together in a large-scale rail project. I especially liked working with project data and translating it into actionable recommendations for leadership.