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E
Emmanuel D.

Emmanuel D.

AI Data Annotator

Nigeria flagAbuja, Nigeria

Key Skills

Software

No software listed

Top Subject Matter

My strongest subject matter areas include Artificial Intelligence
Machine Learning concepts
Data Analysis

Top Data Types

ImageImage
TextText
VideoVideo

Top Task Types

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Computer Programming/CodingComputer Programming/Coding
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Data CollectionData Collection
Text GenerationText Generation
Entity (NER) ClassificationEntity (NER) Classification

Freelancer Overview

I have experience supporting AI and data-driven projects through data preparation, analysis, visualization, and research activities. As an AI-focused Data Analyst and Computer Science researcher, I have worked extensively with data cleaning, exploratory data analysis, predictive analytics, and AI-assisted research workflows. My projects have involved preparing and validating datasets, identifying patterns and trends, developing analytical dashboards, and generating actionable insights for decision-making in academic and business environments. I am proficient in using tools such as Python, SQL, Excel, and Tableau to manage and evaluate data quality while ensuring accuracy and consistency throughout the analytical process. In addition, I regularly utilize generative AI technologies and machine learning concepts in research, content evaluation, and problem-solving tasks. Through my MSc studies in Computer Science and my role as a Graduate Assistant, I have contributed to research involving Explainable AI, data science, and AI applications in healthcare and finance. My background has strengthened my ability to assess information critically, follow detailed guidelines, perform quality assurance checks, and deliver high-quality outputs, making me well-suited for AI training, data labeling, content evaluation, and human feedback projects.

Labeling Experience

I have experience supporting AI training and data labeling initiatives through data preparation, classification, validat

I have experience supporting AI training and data labeling initiatives through data preparation, classification, validation, and quality assurance activities. My work involves reviewing datasets for accuracy, organizing and categorizing information according to defined guidelines, identifying patterns and inconsistencies, and ensuring high-quality data for machine learning and AI-driven applications.

Not specified

Education

M

Master's Degree in Computer Science (MSc)

Degree not specified

Not specified
Not specified

Work History

C

Company not specified

Assistant Lecturer | Bingham University (March 2025 – Present) Supported AI and data-driven research projects through d

Location not specified
2025 - Present