AI-based payout forecasts
Exciting insights and valuable insights were gained in a very short time. I thank NOVAZOON and Braincourt for this partnership project and the professional work.
Project and business model content
NOVAZOON & Braincourt provided the joint project team. The following project content was processed:
- Definition and prioritization of use cases
- Creation of a benchmark model for the prediction of future distribution amounts of the members
- Merging different source systems into an interpretable data set
- Preparation of the data for the optimal form for use in machine learning algorithms
- Exploratory data analysis and identification of the challenges
- Template for future machine learning projects, implemented in Jupyter Notebooks with Python
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customer benefits
On the basis of the project, a distribution forecast was set up and the following content was implemented for GEMA:
- Feasibility study on predicting payout amounts and recommendations for action to improve results
- Deeper insights into the data situation and the distribution of distributions to the members, along with identifying the problems that still need to be solved
- Benchmark model trained with regression algorithms (gradient boosting, random forest, lasso, linear regression and ensemble model)
- Interpretable results and reusable scripts for training machine learning algorithms