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Medical Dicom

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Freelancer Overview

I have a strong background in biomedical physiology and hands-on experience working with complex medical and research data, making me well-suited for data labeling and AI training data roles. My academic and research projects have required me to meticulously analyze physiological datasets, conduct literature reviews, and synthesize information to identify patterns and research gaps. I am proficient in using statistical tools such as SPSS, R, and Excel for data analysis, and have experience annotating and interpreting biomechanical and physiological data, including EMG signals and motion capture outputs. My work as a research assistant involved evaluating video data for injury prevention studies, demonstrating my attention to detail and ability to follow strict annotation protocols. I am highly organized, communicate effectively, and am comfortable working with both structured and unstructured data in medical and scientific domains.

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