- Chemical Engineer by UFCG. During graduation she was a monitor, participated in Scientific Initiation Projects in the area of catalysis and in the area of computational fluid dynamics with the use of biodiesel in diesel engines, using OpenFOAM and SALOME, with Linux operating system. Elaboration of projects with MATLAB, Simulink, Aspen Tech.
- Master in Chemical Engineering using LSTM Neural Networks to predict patterns within the industry using Python language (Numpy, Matplotlib, Pandas, Scikit-Learn, TensorFlow, ...) using the Google Colab environment, Jupyter Notebook.
- PhD student in Chemical Engineering (UFCG): Development of a Fault Detection and Diagnosis System in Python industrial processes (Numpy, Matplotlib, Pandas, Scikit-Learn, TensorFlow, ...) .
- Deepening in Machine Learning, Data Science, with studies and knowledge trails: Big Data Foundations – Hadoop, HDFS, MapReduce, YARN, Hive, Sqoop, HBase, Spark; Data storage and writing – MongoDB, CRUD, Redis, Kafka, Elastic; Basic PySpark – RDD, Spark Schema, DataSet, Data Handling, Data Application Construction and Pattern, Spark Application; Basic Machine Learning – Regression, Classification, Clustering; Neural networks; Natural Language Processing; Genetic Algorithm.
- Resident in the UPE program, technological residency in Industry 4.0: Study and application of concepts and tools from industry 4.0 for application in industries in the Northeast, program to revitalize Northeastern industries, focusing on production and fundamentals of Industry 4.0, Data Science , Artificial Intelligence, Internet of Things (IoT), Big Data Processing, Cloud Computing, Project in Industry 4.0, Smart Manufacturing, Smart Products, Smart Supply Chain & Smart Working, Agile Project Management, Sustainability 4.0.
