Kathleen G.

Key Skills

Software

Appen

Dataloop

LabelImg

Mercor

Mindrift

OpenCV AI Kit (OAK)

Remotasks

SuperAnnotate

V7 Labs

Img Lab

iMerit

Data Annotation Tech

CrowdSource

Clickworker

Scale AI

Top Subject Matter

Healthcare Data & Medical Documentation

Biomedical Diagnostics

Laboratory Test Results

Top Data Types

Text

Image

Document

Top Task Types

Classification

Bounding Box

Polygon

Object Detection

Text Generation

Question Answering

Freelancer Overview

Laboratory Data Entry Analyst — Regional Veterinary Investigation Laboratories. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include SILAB, EpiInfo, and KoboToolbox. Education includes Bachelor of Science, Upper Egerton University (2022). AI-training focus includes data types such as Medical and DICOM and labeling workflows including Classification.

Labeling Experience

Data Entry & Health Records Specialist — Ministry of Health Kenya (Public Health Division)

Classification

Annotated and classified healthcare records using structured disease category protocols and diagnostic codes aligned with AI/ML annotation workflows. Maintained accuracy above 98% while processing large volumes of patient immunization, demographic, and surveillance entries. Performed QA reviews to identify and correct errors, omissions, and inconsistencies prior to submission. • Labeled immunization and health surveillance records for digital health system ingestion • Classified data using structured disease categories and diagnostic codes • Conducted QA review and error resolution before submission • Ensured data integrity, audit trail compliance, and reporting standards using web-based platforms

2023 - 2026

Laboratory Data Entry Analyst — Regional Veterinary Investigation Laboratories (Nakuru)

Classification

Entered and labeled diagnostic results into digital laboratory information systems while following strict data management and biosafety guidelines. Applied structured classification protocols to categorize pathogens and diseases across bacteriology, parasitology, and serology. Documented ambiguous records with clear notes and escalated them for senior QA review to maintain data governance standards. • Labeled diagnostic results in SILAB and EpiInfo • Used structured pathogen/disease categorization codes • Added written notes for ambiguous records and escalated for QA • Maintained audit trails for compliance and regulatory reporting

2022 - 2022

Education

Work History