Bilel Maamer

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.