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M
Mpho M.

Mpho M.

AI Data Annotator - Research, Healthcare & Life Sciences

South Africa flagPretoria, South Africa

Key Skills

Software

AWS SageMakerAWS SageMaker
CloudFactoryCloudFactory
DatasaurDatasaur
DatumboxDatumbox
DoccanoDoccano
EncordEncord

Top Subject Matter

Healthcare
Finanace
Research

Top Data Types

VideoVideo
ImageImage
AudioAudio

Top Task Types

SegmentationSegmentation
ClassificationClassification
Entity (NER) ClassificationEntity (NER) Classification
Object DetectionObject Detection
Bounding BoxBounding Box
Fine-tuningFine-tuning
Data CollectionData Collection

Freelancer Overview

I am a Data Scientist and PhD researcher with extensive experience working with large datasets for machine learning applications. Throughout my research, I have been responsible for preparing, reviewing, and labeling training data, ensuring that datasets meet strict quality standards before model development. This has included validating data accuracy, identifying inconsistencies and anomalies, applying predefined labeling criteria consistently, and maintaining detailed documentation to support reproducibility. My work requires a high level of precision, attention to detail, and the ability to follow complex guidelines while working independently. In addition to my technical background in Python, SQL, and machine learning, I have experience creating and managing datasets containing hundreds of thousands of records. I understand the importance of high-quality training data in developing reliable AI systems and take pride in producing accurate, consistent work. My combination of analytical skills, research experience, and commitment to quality enables me to contribute effectively to data annotation projects across a range of domains.

Education

U

University of Pretoria

PhD Computer Science, Computer Science

PhD Computer Science
2020 - 2025

Work History

C

CSIR

Data Scientist

Pretoria
2023 - Present