https://github.com/marinossav/consultation_sample
Here I provide a sample of one of my consultations. I was reached out to consult on how to approach a predictive model for customer churn for an investment banking company.
https://github.com/marinossav/consultation_sample
churn-prediction consulting financial-data machine-learning predictive-modelling
Last synced: 12 days ago
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Here I provide a sample of one of my consultations. I was reached out to consult on how to approach a predictive model for customer churn for an investment banking company.
- Host: GitHub
- URL: https://github.com/marinossav/consultation_sample
- Owner: MarinosSav
- Created: 2024-07-15T10:40:16.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-07-15T10:51:10.000Z (almost 2 years ago)
- Last Synced: 2025-02-25T20:20:48.744Z (over 1 year ago)
- Topics: churn-prediction, consulting, financial-data, machine-learning, predictive-modelling
- Language: Jupyter Notebook
- Homepage:
- Size: 170 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
### Sample Consultation: Predictive Customer Churn Model
I was reached out to consult on how to approach a predictive model for customer churn. My client company is an app based invesment banking company and as such collects complex data based on financial transaction. The instructions delivered were to be understood by a software engineer with limited experience in machine learning and used to implement a new model from scratch.
For the report go here: https://github.com/MarinosSav/sample_consultation/blob/main/Report.ipynb