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E
Edidiong O.

Edidiong O.

Data Science Researcher (AI dataset labeling and validation)

Canada flagOttawa, Canada

Key Skills

Software

Other
CrowdSourceCrowdSource
AppenAppen
Google Cloud Vertex AIGoogle Cloud Vertex AI

Top Subject Matter

Health - Medical AI / skin condition imaging/risk detection
Writing ranking and categorization

Top Data Types

ImageImage
TextText
VideoVideo

Top Task Types

Data CollectionData Collection
SegmentationSegmentation
ClassificationClassification
Text GenerationText Generation
TranscriptionTranscription

Freelancer Overview

Data Science Researcher (AI dataset labeling and validation). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Engineering, Carleton University (2027). AI-training focus includes data types such as Medical and DICOM and labeling workflows including Data Collection.

Labeling Experience

Data Science Researcher (AI dataset labeling and validation)

OtherData CollectionData Collection

Developed a dataset of 5,000+ labeled images for melanated skin conditions to support medical AI training. Implemented data validation protocols with medical professionals to ensure label integrity and usability for machine learning workflows. Built preprocessing automation to streamline dataset preparation and distribution for downstream training needs. • Created labeled image dataset specific to melanated skin conditions • Conducted collaborative validation with medical professionals • Used Python to automate data preprocessing workflows • Managed large-scale medical image datasets via cloud storage

2025 - 2025

Data Science Research Intern (AI dataset labeling and validation)

OtherData CollectionData Collection

Developed a dataset of 5,000+ labeled images for melanated skin conditions to address a gap in medical AI training data. Worked with medical professionals to implement data validation protocols that ensured high-quality, reliable labels. Built streamlined preprocessing workflows using custom automation to prepare data for machine learning applications. • Produced labeled image dataset for melanated skin conditions • Coordinated data validation with medical professionals • Used Python automation for preprocessing pipelines • Used cloud storage to manage and distribute image datasets

2024 - 2024

Education

C

Carleton University

Bachelor of Engineering, Software Engineering (Artificial Intelligence and Machine Learning stream)

Bachelor of Engineering
2022 - 2027

Work History

U

Unified Support Centre

Operations Coordinator

Ottawa
2023 - Present
A

AI4Good Lab Ontario

Data Science Researcher

Ottawa
2025 - 2025