Data Annotator
Labelled audio clips and identified emotions, tone, and context.
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I am an experienced data annotator with a strong background in labeling and analyzing complex audio and biomedical data for AI model training. My work at TransPerfect involved accurately labeling nuanced emotional content in audio clips, consistently surpassing KPIs for speed and accuracy while adapting to evolving project requirements. I have hands-on experience with annotation workflows, quality assurance, and issue tracking, ensuring high-quality training datasets. My technical skills include Python, MATLAB, and various sensor integrations, and I have applied these in projects involving biomedical signal processing, wearable device data, and cloud-based analytics dashboards. With a foundation in biomedical engineering and certifications in QA/QC, GCP, GLP, and GMP, I am adept at handling sensitive medical data and contributing to high-impact AI and data labeling initiatives.
Labelled audio clips and identified emotions, tone, and context.
Bachelor of Engineering, Biomedical Engineering
Calgary
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