Implement Data Driven culture in OH&S Management
Identify and build process automation demands
Map industry issues and choose better data collection and analysis tools
Report relevant information through data analysis, in an agile way, providing support for decision making
Improve and innovate current management tools, seeking automation and transversality of Health and Safety processes with other processes of the Board
Interact with Directors and Managers in the search for solutions to OH&S issues based on data analysis
Implementation of the Demand Correction and Energy Forecasting System and its use.
Configuration of the SQL database;
Installation and configuration of the data correction and forecasting system software - SPC;
Staff orientation.
Academic supervision in the course of programming techniques (C ++).
Help students with their difficulties.
Implementation of algorithms for outlier detection and correction using machine learning techniques on time series curves.
Develop an energy efficiency application on the Siemens IoT cloud platform "Mindsphere" based on a virtual simulation of a house (or multiple houses → micro-grids). In this project, we also examine the communication problems (hardware) between the cloud and the virtual house.
Evaluation of uncertainties in the design of the ultrasonic anemometer with 2 anometers with the creation of algorithms for evaluation of uncertainties using MatLab.
Worked in the design, installation and monitoring of photovoltaic generation systems.