About Miguel
Available for freelance projects in Data Analysis & Python Automation
Python and data-driven engineer with strong experience in data analysis, process automation and scientific computing in semiconductor and R&D environments.
I specialize in transforming raw and complex datasets into actionable insights using Python, Excel and statistical analysis. My work focuses on building automated workflows, improving data reliability and reducing manual engineering effort.
Experienced in developing Python tools for data processing, visualization and engineering automation, with daily use of Pandas, NumPy and statistical methods. Strong background in experimental data analysis, simulation and technical problem solving.
I combine engineering knowledge with programming skills to deliver efficient, scalable and robust data solutions.
Portuguese
Native or bilingual
French
Native or bilingual
English
Fluent
Spanish
Basic
Italian
Basic
Remote only
Primarily works remotely
Experience
- STMicroelectronicsCharacterization and Modeling Engineer (R&D)RESEARCHJuly 2024 - Today (1 year and 11 months)Rousset, France
- Perform large-scale data analysis on semiconductor characterization datasets using Python and Excel
- Develop automated workflows for data cleaning, processing and visualization
- Analyze electrical measurement data using statistical tools (histograms, box plots, wafer maps, trend analysis)
- Maintain and improve Python-based engineering tools for data processing and analysis
- Use Pandas and NumPy for manipulation of large datasets and automation of repetitive tasks
- Extract physical insights from experimental data to support device modeling and development
- Work with KLA ACE, Cadence, Python and Excel in daily engineering operations
- Ford BrasilProject Researcher – Electric Vehicles R&DAUTOMOBILEJune 2023 - July 2024 (1 year and 1 month)State of Bahia, Brazil
- Performed engineering data analysis for high-power electric vehicle charging systems
- Applied Worst-Case Circuit Analysis (WCCA) considering temperature, aging and component variation
- Analyzed simulation outputs to identify system bottlenecks and reliability risks
- Developed and validated circuit models using PSIM and LTspice
- Produced data-driven technical reports supporting system optimization
- CEA-LetiPython Developer – Image Processing AutomationTECHMarch 2022 - September 2022 (6 months)Grenoble, France
- Developed a Python application to automate image preprocessing and analysis workflows
- Built data pipelines using NumPy, Pandas and Matplotlib for sensor data processing
- Automated optical sensor characterization and image analysis procedures
- Designed a GUI using PySide2 for visualization and workflow control
- Improved efficiency by replacing manual image analysis with automated scripts
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Education
- Electronic and Applied PhysicsENSICAEN - Ecole Nationale Supérieure d'Ingénieurs de Caen2022Master of Science - MS
- Electrical EngineerUniversidade Federal do Rio Grande do Norte2023Bachelor's degree