lagarcess/BCG

Comprises a structured four-module case study on customer churn prediction for a utilities company, covering business framing, exploratory data analysis, feature engineering, and predictive modeling with pricing strategy evaluation. Participants work with historical customer usage, pricing datasets, and churn labels to build classification models that identify price-sensitive customers and test the viability of a 20% discount retention strategy. The curriculum emphasizes independent research and real-world consultant workflows, integrating hypothesis testing with actionable business recommendations rather than isolated technical exercises.

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