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Freelancer Overview

I am a data science professional with a strong background in applied mathematics, statistics, and Python programming, specializing in data preprocessing, analysis, and validation. My experience includes developing data pipelines and segmentation workflows for real industrial microscopy images during my internship at GALP Lubricants, where I focused on extracting and annotating quantitative metrics to evaluate model performance in a computer vision context. I am skilled at collaborating with technical teams to interpret data, ensure high-quality labeling, and critically validate results. With hands-on experience in machine learning, neural networks, and optimization, I am passionate about building reliable, accurate training datasets and supporting AI model development through rigorous analytical methods.

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