
'Possibility is not the same as conceivability' - Possible Worlds, An Introduction to Logic and Its Philosophy
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
cuddly-winner
October 22, 2025 – October 22, 2025
End-to-end ML system predicting stock price movements with explainable AI. Compares linear, tree-based, and deep learning models with rigorous backtesting and SHAP interpretability.
View Projectuhlumagama-web
September 2, 2025 – September 2, 2025
Uhlelo Lokuhlaziya Ikhophasi YesiZulu | IsiZulu Corpus Analysis Toolkit
View ProjectsawubonaCSS2025
January 29, 2025 – January 29, 2025
My first NITheCS CHPC CSS 2025 repo :)
View Projectpredictive-maintainance-xai
March 26, 2024 – May 7, 2024
Predictive Maintainance eXplainable Artificial Intelligence
View Projectunsupervised-streamlit
February 13, 2024 – February 13, 2024
unsupervised-streamlit — GitHub repository
View Projectedsa2307ft-sa-lang-id-clf-hackathon
December 11, 2023 – December 11, 2023
Explore Data Science Academy 2307FT South African Language Identification Hack 2023 submission.
View Projectjlteam2-load-shortfall-regression-predict-api
November 15, 2023 – November 15, 2023
Flask API fork to deploy regression models online via AWS.
View ProjectKREATE-Machine-Learning-Workshop-Tutorial
December 15, 2021 – December 15, 2021
Machine Learning Workshop Tutorial
View ProjectCultural Fit Analysis
The candidate's projects indicate a strong personal drive and interest in data science, which aligns with a culture of continuous learning and innovation. However, the projects are all personal, making it difficult to assess collaboration or team-oriented cultural fit. The diversity of projects (language identification, stock prediction, predictive maintenance) shows a broad interest within the data science domain.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.