Mirabel A.

Key Skills

Software

No software listed

Top Subject Matter

Health-domain adjacent business data

structured customer/interaction records

Structured customer/support data entries (ticket interactions)

Top Data Types

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Top Task Types

Entity (NER) Classification

Freelancer Overview

Data Management and Quality Assurance (data verification supporting AI data labeling quality standards) | Hotel Presiden. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Zoho CRM, Zendesk, and Google Sheets. Education includes Bachelor of Science, Babcock University (2025). AI-training focus includes data types such as Text, Medical, and DICOM and labeling workflows including Evaluation, Rating, and Entity (NER) Classification.

Labeling Experience

Data Management and Quality Assurance (data verification supporting AI data labeling quality standards) | Hotel Presidential

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Maintained and verified large volumes of structured records in Zoho CRM while applying quality checks aligned to data annotation standards. Reviewed 70–90 daily interaction records using structured judgment to ensure accuracy and consistency. Achieved a 94% quality score across processed records, demonstrating reliability expected in AI training and evaluation workflows. • Record verification and quality assurance for structured CRM entries • Ongoing accuracy scoring and resolution of data issues • Cross-team coordination to close tasks faster and reduce backlog • Quality improvement impact, including 12% accuracy improvement

2024 - 2024

Health Data and Records Coordination | University of Port Harcourt Teaching Hospital

Entity (NER) Classification

Managed structured health records for 40–50 patients daily using Google Sheets and Excel, applying data accuracy improvements in a clinical context. Used domain knowledge in Nutrition and Dietetics to support review of health-focused information suitable for AI training content. Handled sensitive data with strict confidentiality and professional standards aligned with data ethics requirements. • Clinical record management and structured data handling • Domain-informed review of nutrition and health information • Confidential handling of sensitive patient-related data • Support for health-domain dataset preparation and quality

2023 - 2023

Remote Data Processing and Evaluation (data review for AI training quality) | Freelance

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Processed and evaluated 80–100 structured data entries weekly using Zendesk and Freshdesk as part of remote data review work. Identified and flagged recurring data patterns to reduce errors by 20%, supporting continuous model and dataset improvement. Produced clear written documentation and follow-up logs using collaboration tools while maintaining a 92% accuracy and resolution rate. • Evaluation of structured entries for accuracy and resolution • Pattern identification to flag recurring issues for improvement • Documentation and written follow-ups supporting annotation workflows • Remote execution using Slack/Zoom and ticketing systems

2023 - 2023

Education

Work History