Data Scientist | Ph.D. Student in Computer Science
I am a Ph.D. student developing a proposal of applications for IoT-based real-time communication infrastructure in the Multi Microgrid scenario. For this, I use artificial intelligence techniques and Python language to validate my experiments.
I have experience as a professor of higher education, where I give introductory classes on programming, data structure, database, and object-oriented programming. I have experience as a postgraduate teacher in Business Intelligence and Data Science course.
In addition, I have experience with Data Science as a freelancer. I have developed work with data visualization, Machine Learning models, and other Artificial Intelligence techniques.
Search and storage of data used in studies and socioeconomic research. Such studies and researches helped the strategic planning of the state, which is executed by the State Governor.
PhD in computer science
Universidade Federal do Piauí, Brazil 2020
(Less than a year)
Master in Computer Science
Universidade Federal do Piauí, Brazil 2017 - 2019
Bachelor of Computer Science
Universidade Estadual do Piauí, Brazil 2012 - 2016
Data Science course
Data Science course that provides knowledge in the areas of Data Analysis, Data Engineering, Machine Learning, Data Visualization, etc.
An Energy-Efficient Approach to Enhance Virtual Sensors Provisioning in Sensor Clouds Environments
Propose ACxSIMv2, an approach to enhance the provisioning task by considering heterogeneous environments. ACOSIMv2, based on an Ant Colony Optimization system, selects an optimal set of sensors nodes from to respond user’s queries while attending all parameters and preserving the overall energy consumption.
An adaptive data compression mechanism for smart meter considering a demand side management scenario
Journal of Cleaner Production
This work proposes an adaptive data compression mechanism to reduce the flow in the communication infrastructure of the advanced metering infrastructure, providing a more agile communication and thus allowing the scalability of the IoT applications in the demand side management scenario, to automate consumption management and distributed power generation. Such a mechanism is built into a smart meter and aims to reduce the amount of data sent to an electric power company.