I really enjoyed the practical approach of the simulation and the opportunity to gain insights into how data science is applied in a real business environment. It was interesting to see how data analysis can support business decisions and help solve complex problems. The experience also gave me a better understanding of the work at BCG and strengthened my interest in data-driven problem solving.

I enjoyed working on a real-world data science project, from exploratory data analysis and feature engineering to building a Random Forest classification model. The simulation helped me understand how to use Python and machine learning to solve business problems and communicate insights to stakeholders.

The simulation walks through a realistic end-to-end data science workflow: exploring the data, engineering features, training a model, and finally communicating the findings. I especially liked the last task, writing an executive summary for stakeholders, because it taught me to turn technical results into a clear business message.