Sopuruchukwu O.

Key Skills

Software

Other

Internal/Proprietary Tooling

Top Subject Matter

Healthcare – Medical Records & Patient Data

Research & Scientific Documentation

Human Resources & Administrative Operations

Top Data Types

Text

Document

Medical Dicom

Top Task Types

Classification

Entity (NER) Classification

Question Answering

Text Summarization

Evaluation/Rating

Data Collection

Prompt + Response Writing (SFT)

Freelancer Overview

I have experience working with data analysis, research, documentation, and quality control, which has equipped me with strong skills relevant to AI training and data labeling projects. Through my academic background in Microbiology and professional experience in administration and research support, I have developed the ability to review information carefully, identify patterns, follow detailed guidelines, and maintain a high level of accuracy when handling data. I am proficient in Microsoft Excel, Google Sheets, and other digital tools used for organizing, validating, and managing large datasets. In addition, I have experience conducting research, collecting and organizing information, preparing reports, and ensuring data accuracy across various projects. My attention to detail, analytical mindset, and commitment to quality enable me to consistently deliver reliable results. I am a fast learner, comfortable working independently, and able to adapt quickly to new tools and processes, making me well-suited for AI training, data annotation, evaluation, and quality assurance tasks.

Labeling Experience

Research Data Organization and Quality Review

TextClassification

Managed and reviewed large volumes of structured and unstructured data for research, administrative, and human resource purposes. Responsibilities included data categorization, validation, quality checks, information extraction, record management, and maintaining consistency across datasets. Reviewed documents and records to identify inaccuracies, duplicates, missing information, and formatting inconsistencies while ensuring compliance with established guidelines. The project involved organizing and classifying data from multiple sources, preparing reports, maintaining databases, and ensuring high levels of data accuracy. Quality control measures included routine verification, cross-checking of records, adherence to documentation standards, and maintaining detailed audit trails to ensure reliability and consistency of information.

2022 - Present

Education

Work History