À propos de Bilel
I am a PhD-level Data Scientist and R&D Engineer specializing in Python, data analysis, and machine learning, with strong expertise in energy systems, smart grids, and industrial data.
I support companies in extracting value from data by designing robust analytical pipelines, predictive models, and decision-support tools. My work focuses on time-series analysis, forecasting, optimization, and data-driven modeling, covering the full chain from raw data acquisition to actionable insights.
My expertise includes:
• Data science with Python (NumPy, Pandas, SciPy, scikit-learn)
• Time-series analysis & forecasting (energy systems, sensors, industrial signals)
• Machine learning for prediction, classification, and optimization
• LabVIEW for data acquisition, test benches, and experimental data analysis
• Development of data-driven simulators and analytical tools
• Data visualization and interactive dashboards (Plotly)
Holding a PhD in Electronics, I bring a strong background in electronics, sensors, and instrumentation, enabling me to bridge physical systems and data-driven methods with a rigorous, industry-ready approach.
I am currently working as a freelancer, available for short- or long-term missions in data science, energy analytics, Python development, and experimental data processing.
Arabe
Bilingue ou natif
Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
Accepte de travailler sur site
Grenoble (jusqu’à 50 km), Lyon (jusqu’à 20 km)
Expériences
- BIOESOL ENERGYR&D EngineerENERGIEjuin 2025 - décembre 2025 (6 mois)Grenoble, France• Technical and economic analysis of the French electricity market to support EMS module design and energy-optimization strategies.• Development of a modular EMS in Python, based on a distributed architecture for advanced energy management, integrating Modbus communication and a decentralized decision-making protocol.• Design and implementation of an energy-savings simulator with an interactive Plotly interface, enabling the estimation of gains across various optimization scenarios, including BESS integration.
- Vibra NovaR&D EngineerHIGH TECHmai 2024 - août 2024 (3 mois)Saint-Martin-d'Hères, France• Benchmarking the performance of high-frequency current sensors using test data, including detection analysis and modeling with MATLAB and Python.• Optimization of an analytical transformer model to improve accuracy and predictive capabilities.
- Orange SAR&D Engineer - PostdocHIGH TECHmars 2023 - mars 2024 (1 an)Meylan, FranceContribution to the “Computing Cube” project (https://lnkd.in/d-MsvQnu) within an international research team. My tasks included:• Setting up a test bench to study piezoelectric energy harvesters and characterize their behavior under dynamic conditions.• Developing a Python-based solution to predict recoverable human-motion energy, achieving 89% accuracy using machine learning models for classification and time-series analysis; patented and currently under publication.
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Formations
- PhD in MicroelectronicsFSM, Université de Monastir2022Electronics and energy harvesting, combining multiphysics simulation (COMSOL), numerical modeling (MATLAB), experimental instrumentation (LabVIEW), and data analysis. Strong focus on linking physical systems, measurements, and computational models.
- Master of Science in Microelectronics and InstrumentationISIMM, Université de Monastir2017
Certifications
- Technology Entrepreneurship: Lab to MarketHarvardX2024
- The Resilient and Renewable GridUniversity of Alaska Fairbanks2024