Data Science Job Simulation by BCG on Forage.Com

Problem Statement:

Client is a major gas and electricity utility

Supplies to corporate, SME and residential customers • Significant churn problem • Driven by power-liberalization of the energy market in Europe • Problem is largest in the SME segment, has engaged BCG to help with the SME segment
It is possible to predict customers likely to churn using a predictive model
Hypothesis that churn is driven by customer price sensitivity
Client wants to try discounting strategy • SME division head suggests that offering customers at high propensity to churn a 20% discount might be effective

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
Addressing Customer Churn at PowerCo..pptx		Addressing Customer Churn at PowerCo..pptx
BCG Forage Virtual Simulation Program in Data Science Certificate presented to Honey Sam.pdf		BCG Forage Virtual Simulation Program in Data Science Certificate presented to Honey Sam.pdf
BCG TASK1 Exploratory Data Analysis .ipynb		BCG TASK1 Exploratory Data Analysis .ipynb
BCG Task1 Continued Data Analysis of CPDF.ipynb		BCG Task1 Continued Data Analysis of CPDF.ipynb
BCG Task1 Summary and Findings.pdf		BCG Task1 Summary and Findings.pdf
BCG- Data Preprocesing.ipynb		BCG- Data Preprocesing.ipynb
BCG- Task3- Feature Engineering and Modelling.ipynb		BCG- Task3- Feature Engineering and Modelling.ipynb
Client Data with Data Dictionary.xlsx		Client Data with Data Dictionary.xlsx
README.md		README.md