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Freelancer Overview
I have experience working with structured and experimental datasets through research and engineering projects, where I applied Python-based data processing and analysis to support algorithm development. As a Research Assistant at Chang Gung University, I collected and organized measurement data from CMM camera experiments and developed Python scripts for kinematic calibration analysis, reducing system error significantly. This work required careful data validation, cleaning, and quality control—skills that directly translate to AI data labeling and training data preparation. In addition, I have experience building automation tools with Python and Excel to process engineering datasets and generate analytical reports. My background in data science fundamentals, combined with strong attention to detail and experience working with technical datasets, enables me to accurately annotate, validate, and organize large volumes of training data. I am particularly strong in maintaining labeling consistency, following detailed annotation guidelines, and ensuring high-quality datasets for machine learning applications.