● Worked with the creation of new credit policies and the review of the current ones. ● Carried out specific studies to detect improvements and support decisions, using SAS Programming and Excel.● Elaboration of backtests of models or information from bureaus, using SoapUI.

• Working on the computer vision team of a retail automation project.• Implemented in Python a Convolutional Neural Network responsible for the identification of the products, using FastAI library.• Implemented in Python a Deep Neural Network responsible for the object detection of the products, using YOLO algorithm.

• Worked on the computer vision team of an autonomous car development project.• Developed software in Python to process the point clouds obtained by the LIDAR, using Open3D and OpenCV libraries.• Implemented a Deep Neural Network responsible for the semantic segmentation of the point clouds, using Open3D-ML and Pytorch.

• Worked on a scientific research whose focus was to model the parabolic kick device of omnidirectional robots.• Modeled and simulated the electromechanical system of the kick device, using MATLAB and Simulink.• Implemented an algorithm capable of optimizing the geometry of the mechanical part, using Python and state of the art algorithms of artificial intelligence, like CMA-ES.• Modeled the mechanical part using SolidWorks.• Developed a paper that was accepted by XXVI ENCITA and by 26th International Congress of Mechanical Engineering, COBEM 2021. Below is the annex to the article.