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O
Opeyemi Adedapo

Opeyemi Adedapo

AI Data annotator

England flagBIRMINGHAM, England
$25.00/hrExpertTelusAppen

Key Skills

Software

TelusTelus
AppenAppen

Top Subject Matter

Healthcare
Finance - Risk analysis
E-commerce

Top Data Types

ImageImage
VideoVideo
TextText

Top Task Types

Question AnsweringQuestion Answering
Text SummarizationText Summarization
Text GenerationText Generation
SegmentationSegmentation
ClassificationClassification
TranscriptionTranscription
Evaluation/RatingEvaluation/Rating
Data CollectionData Collection
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Bounding BoxBounding Box
Fine-tuningFine-tuning

Freelancer Overview

I am an experienced data and application analyst with over a decade of hands-on work in data management, annotation, and analysis across healthcare and financial domains. My expertise includes managing and optimizing complex electronic health records (EHR) systems, ensuring data quality and integrity, and supporting compliance with regulatory standards. I have a strong background in configuring and maintaining Epic modules, collecting and accurately entering sensitive patient data, and producing analytical reports to inform decision-making. I am proficient in SQL, MS Excel, Power BI, and Epic analytical tools such as Workbench, Clarity, and Cogito. My work often involves translating complex data into actionable insights, training end users, and developing clear technical documentation, which has given me a deep appreciation for the importance of high-quality, well-labeled data in AI and machine learning projects. I am passionate about leveraging my analytical, technical, and communication skills to contribute to reliable AI training data pipelines, particularly in medical and business contexts.

ExpertEnglishYoruba

Labeling Experience

Data annotation

ImageFine Tuning
The project involves labelling and categorising data such as text, images, audio, or video to support the development and training of machine learning and artificial intelligence models. Tasks include tagging, classification, transcription, and data validation to ensure high-quality, accurate datasets. The goal is to improve model performance by providing well-structured and reliable annotated data.

The project involves labelling and categorising data such as text, images, audio, or video to support the development and training of machine learning and artificial intelligence models. Tasks include tagging, classification, transcription, and data validation to ensure high-quality, accurate datasets. The goal is to improve model performance by providing well-structured and reliable annotated data.

2025 - 2026

Education

A

Adekunle Ajasin University

Bachelor of Science, Microbiology

Bachelor of Science
2010 - 2014

Work History

B

Birmingham Women's And Children's NHS Foundation Trust

Clinical Application Analyst

Birmingham
2025 - Present
R

RCCG CRA Sheldon

Streaming Technician & Media Director

Birmingham
2021 - Present