Logistic regression project for the prediction of drugs and supplies to be used in surgeries, client segmentation project regarding loyalty with medical services offered by the Medihelp Services Clinic and application project with decision trees and random forests in the prediction of patients who will require hospitalization after admission to a priority consultation.

Development of statistical analysis and models, information extraction from relational databases, database cleaning, hypothesis testing, characterization of procedures and implementation of machine learning and deep learning models.

Creation of productivity and process efficiency indicators, documentation of the procedure for manufacturing Push-Up Jeans and analysis of the working method of the supply chain processes.

Design of the supply chain and implementation of productivity and financial indicators