Data scientist building end-to-end analytical solutions across agriculture, finance, and public services. Develops machine learning, predictive modelling, time series forecasting, anomaly detection, and natural language processing tools that turn complex datasets into decisions teams can act on. Delivers interactive outputs in Python, SQL, Power BI, and Streamlit for real-world planning and operational support.
Overview
2
2
Certifications
7
7
years of professional experience
Work History
Data scientist
CSIR
09.2019 - Current
Build [number] predictive models quarterly to support classification, forecasting, and anomaly detection initiatives.
Develop a technology demonstrator for the Omniolytics farm, analyzing chicken strain data to improve broiler conditions and reduce mortality.
Design and implement a text analysis toolkit for extracting insights from images, documents, and audio files across multiple data formats.
Develop sentiment analysis tools for social media data to assess public opinion and surface actionable information.
Forecast population, household growth, and economic drivers for the Mpumalanga Infrastructure Masterplan through 2060.
Build customer segmentation models and detect anomalies in illicit financial transactions using machine learning and Python.
Education
MSc - Applied mathematics and Computational Sciences
University of the Witwatersrand
01-2019
BSc (Honours) - Applied Mathematics
University of Limpopo
01-2015
BSc - Mathematics and Computer Science
University of Limpopo
01-2014
Skills
Predictive modelling
Machine learning
Time series forecasting
Artificial intelligence
Python
SQL
R
Data cleaning
Feature engineering
Power BI
Streamlit
Model evaluation
Cross-validation
Certification
1 2025
Timeline
Data scientist
CSIR
09.2019 - Current
MSc - Applied mathematics and Computational Sciences