Errabani Daoudi

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Freelancer Overview

With over 10 years of experience in experimental and computational physics, I have developed advanced expertise in data analysis, statistical modeling, and scientific software development. My work has consistently involved designing and automating data acquisition and processing pipelines, implementing robust quality control, and optimizing data workflows using Python (NumPy, Pandas, SciPy), C++, and MATLAB. I have led projects requiring precise data annotation, signal processing, and real-time denoising for sensor and imaging data, including building a Python-based acquisition and analysis suite with automated QC and Bayesian fitting. My experience spans developing standardized pipelines for quantum sensor data, implementing machine-vision tools for automated optics alignment, and mentoring teams in best practices for data handling and reproducibility. I am adept at leveraging tools like Jupyter, Git, Docker, and Linux to deliver reliable, high-quality datasets for AI and machine learning applications in scientific and industrial domains.

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Work History