

Dynamic social services intern at the Institute of Applied Sciences and Technologies, skilled in behavioral observation and technical programming. Developed a goniometric light measurement system using LabVIEW, enhancing system performance through precise calibration and data analysis. Proficient in Python and committed to child welfare and substance abuse awareness.
Mechanical engineer with strong analytical skills and a solid technical background, oriented toward purchasing and supplier management in the automotive industry. Experienced in data analysis, system control, and technical problem-solving. Highly motivated to contribute to cost optimization, supplier evaluation, and process improvement within a global manufacturing environment
Substance abuse awareness
Behavioral observation
Self-care strategies
Child welfare
English
AutoCAD
Excel
Python
Arduino
TOEFL
TOEFL
EC0315