Key Skills

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Label Studio

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Freelancer Overview

I am a physicist with extensive experience in advanced data analysis, annotation, and machine learning for scientific research, particularly in spectroscopy, nanotechnology, and material science. My background includes applying chemometrics (PCA, ANN, MCR) using R and MATLAB, as well as leveraging Python for data processing and analysis. I have hands-on expertise in generating, labeling, and interpreting complex datasets—such as Raman and Surface-Enhanced Raman Spectroscopy data—for applications in environmental monitoring, medical diagnostics, and material characterization. My work also involves supervising projects that utilize Density Functional Theory and computational modeling, ensuring high-quality, accurate data annotation for AI-driven research. I am passionate about supporting AI development through meticulous data labeling and annotation, and I am adept at collaborating in interdisciplinary teams to produce reliable training datasets for various scientific and engineering applications.

Labeling Experience

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Work History