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Document
Classification
Segmentation
Text Generation
Text SummarizationI hold eight (8) years hands-on experience in data labelling including using soliciting domain expert knowledge, employing theory/construct-based ground truth establishment, deploying unsupervised machine learning to employ hidden patterns in data, etc. I have an empirical publication on the interrogation of ground truth paradigms, to further establish my theoretical depth on the subject of ground truth establishment. Education includes Doctor of Philosophy, Federal University of Agriculture Abeokuta (FUNAAB) (2026) and Master of Science, Federal University of Agriculture Abeokuta (FUNAAB) (2023).
DocumentClassificationLabelling of graduated (720-n0, 5000-no, 10000-no) survey data using Alkire-Foster Multidimensional Poverty Index methodology and unsupervised K-Prototypes machine learning methodology to create three classes of High Vulnerability, Moderate Vulnerability and Low Vulnerability labels
TextClassificationSurvey data was annotated using Human Expert knowledge, Big OCEAN model, unsupervised machine learning models (K-Means, K-Modes, K-Prototypes) and their ground truth assumptions were interrogated using statistical tools.
TextClassificationDeploying sentiment analysis and Topic Modelling to annotate tweets as fake or loegit.
Doctor of Philosophy, Computer Science
Master of Science, Computer Science
Lecturer
Principal Programme Analyst
