Reginald B.

Key Skills

Software

Don't disclose

Top Subject Matter

Clinical diagnostics laboratory testing and specimen labeling

Clinical research data collection and statistical analysis (tabular health data)

Legal Services & Contract Review

Top Data Types

Text

Document

Top Task Types

Diagnosis

Data Collection

Freelancer Overview

Laboratory Science Intern (Clinical Rotations) — Korle-Bu Teaching Hospital (Health data workflow support). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose, SPSS, and Microsoft Excel. Education includes Bachelor of Science, University of Ghana (2023). AI-training focus includes data types such as Medical, DICOM, and Text and labeling workflows including Diagnosis and Data Collection.

Labeling Experience

Laboratory Science Intern (Clinical Rotations) — Korle-Bu Teaching Hospital (Health data workflow support)

Don't discloseDiagnosis

In this role, you performed supervised laboratory testing that produced diagnostic outputs used for clinical decision-making. You ensured accurate handling and labeling of patient specimens in alignment with standard operating procedures to maintain data integrity for downstream interpretation. You supported quality control checks for analysers to reduce repeat testing and improve reliability of laboratory results. • Performed Full Blood Count (FBC), ESR, malaria RDT, urinalysis, and clinical chemistry panels under supervision. • Processed 200+ patient specimens weekly with compliant labeling, storage, and handling. • Assisted QC checks for Mindray BC-5800 haematology analysers and semi-automated chemistry systems. • Documented and reported critical lab values promptly to clinical teams.

2025 - Present

Research Assistant — Undergraduate Thesis Project (sickle-cell haematological parameters)

TextData Collection

In your undergraduate thesis, you collected and analyzed participant data to study haematological parameters in sickle-cell disease. You worked with structured research datasets using statistical tools to prepare clean, analysis-ready data visualizations for reporting. While not an explicit annotation job, the work involved systematic data collection and transformation suitable for machine-learning-ready tabular datasets. • Collected and analyzed data from 80+ participants at a tertiary health facility. • Applied SPSS and Microsoft Excel for descriptive statistics, t-tests, and ANOVA. • Produced clean data visualisations for academic reporting. • Collaborated to ensure IRB-compliant, ethical data collection and consent procedures.

2024 - 2024

Education

Work History