Machine Learning Algorithm to foresee product withdrawals

Description 

cdmon joins inLab FIB UPC with the aim of developing a Machine Learning algorithm applied to predict non-renewal in contracted products. The result of the project will be a computer program that allows the processing of data and internal information available to predict product losses with an associated degree of uncertainty. The benefit of having these results is that cdmon will be able to make decisions based on this data and implement preventive and corrective actions well in advance.

Duration of the project 
January, 2020 - June, 2020
Client 
Technology 
Python,
Jupyter,
Pandas
Areas of expertise involved in the project 
Project Manager 
Articles and Presentations 

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