GitHub / Yasouimo / BCG-Data-Science-Job-Simulation
Analyzed customer churn data using Python (Pandas, NumPy, Matplotlib) and developed an optimized Random Forest model with 85% accuracy. Delivered insights and an executive summary to support business decisions, as part of the BCG Data Science Job Simulation (Feb-Mar 2025).
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PURL: pkg:github/Yasouimo/BCG-Data-Science-Job-Simulation
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 8.18 MB
Dependencies parsed at: Pending
Created at: 2 months ago
Updated at: 4 days ago
Pushed at: 4 days ago
Last synced at: 4 days ago
Topics: churn-analysis, data-science, feature-engineering, machine-learning, matplotlib, numpy, python, random-forest, scikit-learn