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AWS SageMaker

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Freelancer Overview

I have hands-on experience in data analysis and scientific research, with a strong background in biology and medical laboratory work. My academic and professional journey has equipped me with skills in Python, R, Pandas, and SQL, as well as experience using statistical methods like ANOVA and Tukey tests for data validation. I am proficient in handling and analyzing large datasets, particularly in the domains of biomedical and experimental research, and have operated advanced laboratory equipment for generating and managing medical data. My technical toolkit also includes experience with machine learning libraries such as Scikit-Learn, Keras, TensorFlow, and basic knowledge of PyTorch and Jax/Flax, along with practical skills in Linux, Git, and bioinformatics tools. I am eager to apply my attention to detail, data annotation abilities, and technical expertise to contribute to high-quality AI training data and data labeling projects.

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