Caroly Ochieng

Key Skills

Software

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Top Data Types

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Freelancer Overview

I have a strong background in bioinformatics and medical biotechnology, with hands-on experience in data labeling, data annotation, and quality control within regulated laboratory environments. My work at KEMRI involved meticulous sample labeling, tracking, and structured data entry, ensuring traceability and data integrity for research datasets. I am skilled in Python programming for data cleaning, preprocessing, and statistical analysis, utilizing tools such as Pandas, NumPy, Matplotlib, and SciPy to manipulate and visualize biological and experimental data. My attention to detail, adherence to biosafety and quality standards, and experience with laboratory data validation equip me to produce high-quality, accurate training datasets for AI and machine learning applications, particularly in the medical and life sciences domains. I am adaptable, collaborative, and eager to contribute to projects that advance data-driven research and innovation.

Labeling Experience

Remotask data annotation experience

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Experienced in structured data labeling and annotation through platforms such as Remotask and Toloka, contributing to AI and machine learning model development. Performed accurate data categorization, image and text annotation, and validation tasks while maintaining high quality and consistency standards. Skilled in following detailed annotation guidelines, conducting quality checks, and ensuring data integrity to support reliable computational and analytical workflows. Demonstrates strong attention to detail, accuracy, and efficiency in remote data processing environments.

Experienced in structured data labeling and annotation through platforms such as Remotask and Toloka, contributing to AI and machine learning model development. Performed accurate data categorization, image and text annotation, and validation tasks while maintaining high quality and consistency standards. Skilled in following detailed annotation guidelines, conducting quality checks, and ensuring data integrity to support reliable computational and analytical workflows. Demonstrates strong attention to detail, accuracy, and efficiency in remote data processing environments.

2022 - 2024

Education

Work History