Development of predictive algorithms in Python for customer fraud detection in the Energy service sector on the Caribbean coast of Colombia, use of pandas, Keras and Scikit-Learn libraries.

Carry out the analysis of the metrics obtained from the data mining algorithms and be able to implement the one that yielded the best precision.

Database administrator of the clients of the clients' applications, the databases were managed in On-Premise servers and in Cloud environments in RDS of AWS and SQL service of Google Cloud