lagarcess/BCG
The BCG Open-Access Data Science & Advanced Analytics Virtual Experience Program
This project guides data scientists through a realistic consulting engagement focused on customer churn reduction for a utilities company. You'll analyze historical customer usage and pricing data to identify churn drivers and predict which small and medium enterprise (SME) customers are likely to leave. The outcome is a predictive model and insights that inform a potential discount strategy to retain customers.
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Use this if you are a data scientist looking to gain practical experience in a business context, from problem framing and data cleaning to modeling and evaluation, especially in customer retention or utilities.
Not ideal if you are looking for a plug-and-play solution or if you are not comfortable with extensive data analysis and statistical modeling.
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Language
Python
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Last pushed
Nov 13, 2021
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