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Medical Dicom

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Data Collection

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Function Calling

Freelancer Overview

I have hands-on experience working with structured datasets as part of my data science training, where I’ve performed data cleaning, preprocessing, and classification tasks. In my projects, I worked with labeled datasets by identifying target variables, organizing features, and ensuring data consistency before analysis. For example, I handled classification problems where accurate labeling of outcomes (such as binary targets) was essential for model training and evaluation. I’m also familiar with the importance of high-quality annotation in machine learning workflows, including maintaining consistency, following defined guidelines, and minimizing bias in labeled data. While I am building direct experience with dedicated annotation tools, my background in data analysis has given me a strong foundation in handling, structuring, and validating data for machine learning use cases.

Labeling Experience

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Work History