Second year student in Master of Computer Science - Industry 4.0.
Fields of study: Machine Learning, Business Intelligence, Cloud Computing, Micro-Services, Databases, Internet of Things (IoT) and Systems Engineering.
Industrial Engineer graduated from the Universidade Federal do Rio de Janeiro (UFRJ).
Development of machine learning and data analytics solutions to help the client to recognize, understand and exploit its customers needs in order to offer the right offer at the right time within a customer-centric marketing strategy.
Bibliographic research and market analysis, followed by the development of a simulation model of the world market of rare-earth elements culminating in short, medium and long-term projections of the referred market.
Expected graduation in August 2019
GPA : 7.9 / 10.0
In my free time, I prefer outdoor activities such as running, soccer and volleyball. Also, in Brazil I used to be part of a group that gave private lessons of math, physics and statistics.
Indoors, I love studying new languages and trying new cooking recipes.
The practice of cultivating and maintaining home plants can be fulfilling as well as economically rewarding. Nevertheless, the complexity of managing a home garden ranges from irrigation routines to light exposure and crop rotation.
In this matter, the main purpose of this project is to develop a prototype of an autonomic garden that is capable of gathering information from the plant and from its environment through sensors, analyzing the collected data by a cross-validation within a plants database, creating a plan of action outlining the required adjustments of the system to achieve its gardening goals, and executing this plan by managing effectors that actuate on the garden itself.
This autonomic system aims to assist the gardening role through optimization of resource usage and maximization of productivity. As a consequence of learning the ideal amount of water necessary for the development of the plant regarding the environmental circumstances of its cultivation and its biological needs, the system does not only avoid water waste but also enhance plant growth.