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Detail-oriented healthcare data professional and triple-licensed clinician (RN, RM, RPHN) with hands-on experience in clinical data annotation, EMR data entry, and machine learning dataset preparation for health AI. Co-founder of Vita BRIDGET Technologies where I led the annotation and structuring of clinical datasets to support health diagnostics and community risk models. Committed to high accuracy, data integrity, and ethical AI practices in health informatics, with frontline experience across hospital, community health, and psychiatric units—ensuring every label reflects genuine medical understanding.…Detail-oriented healthcare data professional and triple-licensed clinician (RN, RM, RPHN) with hands-on experience in clinical data annotation, EMR data entry, and machine learning dataset preparation for health AI. Co-founder of Vita BRIDGET Technologies where I led the annotation and structuring of clinical datasets to support health diagnostics and community risk models. Committed to high accuracy, data integrity, and ethical AI practices in health informatics, with frontline experience across hospital, community health, and psychiatric units—ensuring every label reflects genuine medical understanding.

Ezra Awoniiyi

Data Annotator, Data Analyst, Data Scientist, +1

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Detail-oriented healthcare data professional and triple-licensed clinician (RN, RM, RPHN) with hands-on experience in clinical data annotation, EMR data entry, and machine learning dataset preparation for health AI. Co-founder of Vita BRIDGET Technologies where I led the annotation and structuring of clinical datasets to support health diagnostics and community risk models. Committed to high accuracy, data integrity, and ethical AI practices in health informatics, with frontline experience across hospital, community health, and psychiatric units—ensuring every label reflects genuine medical understanding.…Detail-oriented healthcare data professional and triple-licensed clinician (RN, RM, RPHN) with hands-on experience in clinical data annotation, EMR data entry, and machine learning dataset preparation for health AI. Co-founder of Vita BRIDGET Technologies where I led the annotation and structuring of clinical datasets to support health diagnostics and community risk models. Committed to high accuracy, data integrity, and ethical AI practices in health informatics, with frontline experience across hospital, community health, and psychiatric units—ensuring every label reflects genuine medical understanding.

Available to hire

Detail-oriented healthcare data professional and triple-licensed clinician (RN, RM, RPHN) with hands-on experience in clinical data annotation, EMR data entry, and machine learning dataset preparation for health AI. Co-founder of Vita BRIDGET Technologies where I led the annotation and structuring of clinical datasets to support health diagnostics and community risk models.

Committed to high accuracy, data integrity, and ethical AI practices in health informatics, with frontline experience across hospital, community health, and psychiatric units—ensuring every label reflects genuine medical understanding.

Skills

Experience Level

Expert

Expert

Intermediate

Beginner

Language

English

Fluent

Yoruba

Fluent

Work Experience

Intern Nurse (EMR & Clinical Data Entry) at EKSUTH – Ekiti State University Teaching Hospital

May 20, 2024 - Present

Enter and maintain accurate patient records in the hospital EMR system including medication administration logs, vital sign records, IV records, and clinical notes. Document patient assessments, treatment plans, discharge summaries, and follow-up instructions with high accuracy and compliance with clinical documentation standards. Record and track vital sign data across multiple patients simultaneously, ensuring timely escalation of critical deviations in fast-paced, high-volume data entry settings. Contribute structured clinical documentation for complex, multidisciplinary care plans via membership in the Stroke and Palliative Care Health Team. Manage medication administration records (MARs) across oral, IV, and intramuscular routes with zero-error accountability.

Health Care Annotator & Entry Specialist at Vita BRIDGET Technologies

January 1, 2024 - Present

Enter, verify, and manage clinical health data across EMR-style systems to ensure accuracy and completeness across patient records, symptom logs, and community health survey inputs. Annotate and label clinical datasets (vital sign time series, imaging descriptions, free-text nurse notes, and patient histories) to train supervised ML models for health diagnostics. Apply ICD coding principles and SNOMED-aligned classification to ensure medically accurate, consistent annotations suitable for NLP and predictive modeling pipelines. Structure unstructured free-text clinical data into ML-ready formats for downstream NLP tasks including NER, text classification, and symptom extraction. Perform quality assurance reviews to identify labeling inconsistencies, edge cases, and potential bias sources, and provide expert clinical feedback to improve model accuracy. Implement data privacy best practices aligned with NDPR/GDPR when handling sensitive patient and community health data. Collaborate with

Student Nurse – Psychiatric Rotation at Federal Neuropsychiatric Hospital, Aro, Abeokuta

November 1, 2023 - Present

Document patient behaviour observations, medication responses, and psychiatric assessment notes accurately in ward records. Maintain a therapeutic rapport with patients while managing structured data entry tasks in a sensitive clinical environment.

Student Nurse – Community Health Rotation at Primary Health Centre, Oke-Mapo, Owo

April 1, 2022 - Present

Collect and enter community health data including immunisation records, patient histories, and health promotion survey responses. Support structured data collection for community immunisation campaigns, ensuring accurate patient-level records.

Student Nurse (Clinical Data Entry & Documentation) at Federal Medical Centre, Owo, Ondo State

August 1, 2021 - July 1, 2024

Maintain patient documentation across diverse clinical wards including medical, surgical, obstetric, and paediatric units by entering assessment findings, medication records, and progress notes into hospital registers and EMR systems. Record and report vital sign deviations promptly while maintaining accurate real-time clinical records. Support structured data collection for ward rounds, ensuring completeness and legibility of patient records.