Bravin Sabata

Key Skills

Software

CVAT

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Freelancer Overview

I am a detail-oriented Statistics student with hands-on experience in AI training and data annotation, gained through the Microsoft Azure AI Engineer learning path and academic projects at JKUAT. I have a solid foundation in data labeling concepts, statistical analysis, and model training workflows, with practical skills in tools like Python, Microsoft Excel, Google Sheets, and various data annotation platforms. My technical writing portfolio on Medium demonstrates my ability to clearly explain AI and data science concepts, making complex topics accessible to broad audiences. I am passionate about improving AI training processes through precise data handling and clear documentation, and I thrive in remote, collaborative environments where accuracy and continuous learning are valued.

Labeling Experience

Content Moderation Framework Study

CVATTextClassification

I conducted a self-directed content moderation study by analyzing safety guidelines and applying consistent labels to challenging content. I developed a systematic approach for ambiguous annotation scenarios and refined classification for edge cases. This experience provided hands-on practice with the principles of content moderation data labeling. • Applied moderation guidelines to diverse text samples. • Practiced labeling difficult subjective and ambiguous examples. • Established workflows for documenting and resolving ambiguities. • Enhanced understanding of content classification edge cases.

I conducted a self-directed content moderation study by analyzing safety guidelines and applying consistent labels to challenging content. I developed a systematic approach for ambiguous annotation scenarios and refined classification for edge cases. This experience provided hands-on practice with the principles of content moderation data labeling. • Applied moderation guidelines to diverse text samples. • Practiced labeling difficult subjective and ambiguous examples. • Established workflows for documenting and resolving ambiguities. • Enhanced understanding of content classification edge cases.

2025 - 2025

Academic Data Categorization Projects

CVATTextClassification

I manually classified and labeled over 500 academic survey responses using consistent tagging criteria for a university statistics project. I maintained a high accuracy rate and documented all labeling decisions for reference. Statistical validation methods were applied to ensure annotation consistency. • Consistently categorized survey responses based on defined guidelines. • Achieved 96% accuracy in peer-review checks. • Created reference guides and detailed documentation for ambiguous cases. • Applied statistical methods to validate annotation quality.

I manually classified and labeled over 500 academic survey responses using consistent tagging criteria for a university statistics project. I maintained a high accuracy rate and documented all labeling decisions for reference. Statistical validation methods were applied to ensure annotation consistency. • Consistently categorized survey responses based on defined guidelines. • Achieved 96% accuracy in peer-review checks. • Created reference guides and detailed documentation for ambiguous cases. • Applied statistical methods to validate annotation quality.

2024 - 2025

Education

Work History