- This GitHub repository represents the final project submission for Greg Osborne's Third project at FlatIron school. The project assignment was to analyze a selected set of data for churn rate predictions to present to Telecom.
- Telecom wants to limit their customer departure rate, or churn rate, to as low as possible.
- I made business recommendations based on the following three variables:
- Oregon
- Customer Service Calls
- International Plan
- Source of data
- All data used in this project was from Telecom. It is a database full of various statistics regarding specific customers and which left and which stayed.
- Visualizations One visualization (the same visualization is in the notebook)
- This analysis is limited by time and budget. There are many other factors to consider when trying to predict a customer's churn rate. The three recommendations I make are:
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Check ORegon. * Oregon had the highest churn rate of all states. * Is there greater competition in Oregon?
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Review Customer Service Calls * The more often customers called customer service, the more likely they were to leave. * What calls are departing customers making to customer service? * How do departing customers rate customer service in the survey results? * How does the wait time for customer service compare to other companies? * What do people say about our customer service? What about online?
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Review International Rates. * Departing customers were four times more likely to have an international rate plan. * Every departing customer had made at least one international call. * How does Telecom’s international plan hold up against the competition?
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├── data : data used for modeling
├── Visualizations : images used in PPT and readme
├──.canvas : File provided by Flatiron
├──.gitignore : File provided by Flatiron
├──github.pdf : PDF of repository
├──LICENSE.md : File provided by Flatiron
├──Notebook.pdf print of jupyter notebook used for modeling
├──Presentation.pdf : Presentation for Stakeholders
├──README.md : project information and repository structure
└──student.ipynb : Jupyter Notebook