Artificial intelligence, through unsupervised machine learning, helps discover patterns and clusters in large employee groups

The objective of this project was to collaborate with the analysis of the HR data from Galicia bank. The scope of this work was to perform the analysis of the data that PCG has available from its client Galicia, performing various information crossings, dynamic graphics, etc. For this, the data was imported, in csv format, into a Python code from which the requested information cuts and crosses were made. Based on this information, clustering techniques were used, in particular K-means, to group employees with similar characteristics and interests. It was programmed in Python on the Google Colaboratory platform.