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Medical Dicom
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Entity (NER) Classification
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Diagnosis
RLHF
Data CollectionI am an analytical data professional with a strong background in structured data verification, rule-based, auditing and logical pattern recognition. Having Worked as an underwriting data officer in the healthcare sector, I possess direct experience auditing, high volumes of comples data against strict guidelines, identifying inconsistencies and maintaing an absoulute zero-error threshold.My background is backed by formal professional certifications in Data Analytics (Power BI and Tableau) and Python logic, which allows me to approach data classification and text evaluation with a technical, workflow-driven mindset. My approach to AI training and prompt evaluation is rooted in the same rigorous quality assurance metrics I applied in corporate data environments. I am highly skilled at breaking down complex annotation rubrics, cross-referencing factual data arrays, and identifying subtle cognitive or logical errors within complex documentation. This combination of hands-on verification experience and analytical training enables me to deliver high-tier, reliable datasets required to optimize large language models.
Please add my experience. While I am transitioning into dedicated AI training roles, I have extensive professional experience in structured data verification, rule-based compliance auditing, and quality assurance from my background as an underwriting data officer. This involved cross-checking complex documentation against rigorous policy frameworks, which maps directly to the logic and precision required for high-level data labeling and annotation
Degree not specified
Experience 1: * Company: HCI Healthcare * Role: Underwriting Assistant / Data Officer * Duration: August 2025 – June 202
