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D
Daniel Onyiri

Daniel Onyiri

Software Engineer | AI & Machine Learning Developer

United Kingdom flagHuddersfield, United Kingdom
$18.50/hrEntry LevelLabel StudioCVATOneforma

Key Skills

Software

Label StudioLabel Studio
CVATCVAT
OneFormaOneForma
TelusTelus
Micro1

Top Subject Matter

Software Engineering & Application Development
Artificial Intelligence & Machine Learning
Database Management & Web Integration

Top Data Types

AudioAudio
TextText
DocumentDocument

Top Task Types

Computer Programming/CodingComputer Programming/Coding
Evaluation/RatingEvaluation/Rating
Data CollectionData Collection
ClassificationClassification

Freelancer Overview

I am a motivated Software Engineering student at the University of Huddersfield with a strong foundation in Python, Java, and SQL. I have practical experience in AI through the development of a Breast Cancer Diagnostic System using Scikit-learn, where I engineered a high-accuracy (97%) model and managed full data pipelines. My background in data structures and relational databases enables me to provide precise, structured analysis for AI training and data labeling tasks. Beyond my technical skills, I have demonstrated reliability and commitment to high standards in professional environments. My experience as a Class Representative and Digital Leader also showcases my ability to follow complex rubrics and facilitate clear communication.

Entry LevelEnglish

Labeling Experience

Breast Cancer Diagnostic System (AI Data Preparation & Model Training)

Computer Code ProgrammingComputer Programming Coding
Engineered a high-accuracy breast cancer detection system using Python and Scikit-learn. The scope of the project involved managing full data pipelines, including the preprocessing and cleaning of medical datasets to ensure data integrity for model training. I performed detailed data analysis and feature engineering using Pandas and Matplotlib to prepare the data for classification tasks. By implementing model optimization techniques, I achieved a 97% diagnostic accuracy rate, demonstrating a strong commitment to quality measures and data precision.

Engineered a high-accuracy breast cancer detection system using Python and Scikit-learn. The scope of the project involved managing full data pipelines, including the preprocessing and cleaning of medical datasets to ensure data integrity for model training. I performed detailed data analysis and feature engineering using Pandas and Matplotlib to prepare the data for classification tasks. By implementing model optimization techniques, I achieved a 97% diagnostic accuracy rate, demonstrating a strong commitment to quality measures and data precision.

2025 - 2026

Education

U

University of Huddersfield

International Foundation Year Certificate, Computing and Engineering

International Foundation Year Certificate
2023 - 2024
H

Hallel College Boarding

West African Senior School Certificate, General Science

West African Senior School Certificate
2016 - 2022

Work History

B

Blue Arrow Recruitment Agency

Cleaning Operative

Huddersfield
2025 - 2026
E

Evri

Warehouse Operative

Barnsley
2024 - 2025