Electronics engineer with knowledge in data-driven decisions using Deep Learning , Machine Learning , features extraction and data statistical analysis . Prepared in other areas such as computer vision , augmented reality , AWS and fundamentals of software development with Python and SQL
Internship focused on electronics engineering tasks related to sugar production processes, including control and measurement of variables, simulation development, automatic control tools, electronic circuit design, and industrial instrumentation review.
Major achievementControl and measurement of variables in PLCs. Development of dynamic simulation and automatic control tools for sugar production processes. Contact with suppliers of equipment for industrial use. Design and assembly of electronic circuits for automatic control. Research and review of industrial instrumentation.