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K
Kingsley A.

Kingsley A.

AI Training & Data Labeling Specialist

Nigeria flagEnugu, Nigeria

Key Skills

Software

CVATCVAT
Label StudioLabel Studio
DoccanoDoccano
Scale AIScale AI
SuperviselySupervisely
ProdigyProdigy

Top Subject Matter

Educational datasets / research data for AI workflows
Multidisciplinary research datasets and analytics quality
Real-world structured datasets for ML prediction modeling

Top Data Types

TextText
DocumentDocument
ImageImage

Top Task Types

Function CallingFunction Calling
Bounding BoxBounding Box
ClassificationClassification
Question AnsweringQuestion Answering
Text GenerationText Generation
Text SummarizationText Summarization
TranscriptionTranscription
Fine-tuningFine-tuning
Data CollectionData Collection

Freelancer Overview

Results-oriented AI Training and Data Labeling professional with hands-on experience preparing, cleaning, validating, and organizing structured and unstructured datasets for machine learning applications. Skilled in data annotation support, quality assurance, dataset categorization, and analytical problem-solving using Python, Pandas, NumPy, SQL, Excel, and statistical tools. Experienced in working with real-world datasets to train and evaluate predictive AI models, with a strong focus on accuracy, consistency, and attention to detail in high-volume data environments. Built and optimized machine learning projects including an MTN Customer Churn Prediction Model (93%+ accuracy) and a Heart Disease Prediction Model (95%+ accuracy), demonstrating practical understanding of supervised learning workflows, data preprocessing, feature engineering, and model evaluation. Recognized for strong research abilities, fast learning, and the ability to maintain high-quality standards while collaborating effectively across technical and non-technical teams.

Labeling Experience

Heart Disease Prediction Dataset Project

TextTextClassificationClassification

Prepared and analyzed healthcare datasets for a heart disease prediction system designed to classify patient risk levels. Tasks included reviewing patient records, preprocessing structured datasets, identifying inconsistencies, categorizing medical variables, and validating dataset accuracy for machine learning applications. Maintained quality assurance measures during data preparation to ensure reliable training and evaluation outcomes. Worked with sensitive health-related variables requiring strong attention to detail and consistency.

2025 - 2025

MTN Customer Churn Prediction Model

TextTextClassificationClassification

Worked on a machine learning project focused on predicting customer churn using real-world telecommunications datasets. Responsibilities included cleaning and preprocessing customer records, validating dataset consistency, categorizing customer behavior patterns, and preparing structured data for supervised learning workflows. Performed feature selection, handled missing and inconsistent entries, and ensured data quality before model training. The project involved analyzing thousands of customer records while maintaining high accuracy and consistency standards throughout the workflow.

2025 - 2025

Data and Statistical Analyst Intern — DGMC Research Institute

OtherTextTextFine-tuningFine-tuning

Conducted data analysis support and dataset review activities for multidisciplinary research projects. Organized, reviewed, and validated datasets to ensure accuracy prior to interpretation and reporting. Assisted researchers with data preparation, categorization, and quality assurance to maintain high data integrity. • Validated datasets for accuracy before analysis • Assisted with data preparation and categorization • Performed quality assurance and review for research datasets • Produced reports and visualizations using statistical software

2024 - 2025

Educational Research Data Analysis Initiative

OtherImageImageBounding BoxBounding Box

Collaborated on research-focused initiatives involving educational datasets and AI-driven insights. Assisted in organizing, reviewing, cleaning, and validating structured datasets collected for academic and institutional research purposes. Supported data categorization, preprocessing, and quality assurance workflows to improve the consistency and usability of datasets used for analysis and reporting. Ensured accurate documentation and maintained data integrity standards throughout the project lifecycle.

2024 - 2025

Education

D

DGMC Research Institute

Data and Statistical Analysis Internship, Data Analysis and Statistical Research

Data and Statistical Analysis Internship
2024 - 2025
E

Education Innovation Unit, Office of the Vice Chancellor

Research and Data Internship, Data Science and Artificial Intelligence

Research and Data Internship
2024 - 2025

Work History

M

MEVEQ

Software Engineer

Nsukka
2026 - Present
S

Self-Employed

Freelance Web Developer

Remote
2024 - Present