Malu de Leon

Develops computational models for industrial equipment using Ansys Fluent. Performs data analysis, technical validation, and documentation review using VBA, Power BI, Python, Seeq, and PI Vision.

Maintained and improved automation and monitoring systems in former Mining and PVC-Utilities plants. Acted as technical focal point for automation systems, ensuring reliability and compliance with safety standards.

Designed and configured Yokogawa DCS systems (hardware and software). Executed FAT/SAT tests and supported commissioning and startup activities. Developed and validated automation documentation and participated in technical proposal reviews.

Implemented Predictive Maintenance initiatives for Braskem plants in Camaçari. Developed dashboards to monitor and increase equipment reliability and to reduce maintenance costs.

Developed algorithms for Polytechnical Institute Robotics lab using V-REP and ROS software. Configured PLCs in Politechnical Institute LEA lab. Developed algorithms for healthcare data in Math Institute LaSiD lab.

Supported maintenance planning and reliability analysis using SAP and Meridium software. Supported instrumentation safety analysis (RCA, HAZOP, LOPA, SIL).

Supported architectural design using AutoCAD and Revit software.

Completed coursework in data science and analytics, covering topics such as data analysis and computational modeling.

Completed coursework in robotics, including algorithm development for the Polytechnical Institute Robotics lab using V-REP and ROS software.

Bachelor's degree in Control and Automation Engineering. Capstone project focused on trajectory planning of a manipulator arm using artificial potential fields.

Participated in a high school exchange program in Dortmund, Germany.