Dr. Thabang Mathonsi, Ph.D.

End-to-end implementation and governance of data science initiatives, from ideation to model development, deployment, monitoring, maintenance, and governance; building robust integration pipelines to produce reliable, actionable insights from advanced analytics and reports. My role encompasses guiding a dynamic team within Fraud Strategy to ensure our fraud and credit risk models consistently outperform the current state-of-the-art, thereby reinforcing the bank's commitment to innovation and excellence in the rapidly evolving landscape of data-driven financial strategies.

Transformative role in establishing and building the organization's data science functionality. Specializing in data scientific processes, I pioneered risk modeling, predictive analytics, multivariate forecasting, and interpretable anomaly detection. My inter-departmental leadership contributions helped lay the foundation for leveraging advanced analytics to drive informed decision-making within the organization.

Specialization in Data Science and Machine Learning, excelling in spatio-temporal data predictive analytics, multivariate forecasting, uncertainty quantification, anomaly detection, and implementing Explainable AI (xAI). My expertise contributed to advancing climate science research by providing actionable insights through cutting-edge models, fostering a deeper understanding of complex environmental systems.

Associate Lecturer in the school of Computer Science and Applied Mathematics.

Ideation, building, and deployment of bespoke machine- and deep learning models for a variety of clients with applications including predictive analytics, computer vision, and natural language processing. My departmental leadership and cross-functional collaboration leveraged cloud computing and edge deployment while shaping the organization's innovative and impactful data strategy.

Launched a niche startup dedicated to delivering tailored prescriptive and predictive analytical solutions, empowering businesses to make data-driven decisions and achieve operational excellence. Directed all facets of the business, from initial concept and product development to market positioning and client acquisition. Cultivated a strong vision for leveraging advanced analytics to solve complex business problems. Led the creation and deployment of cutting-edge data products, including machine learning models, predictive analytics tools, and bespoke dashboards to deliver actionable insights.

During my internship as a Data Analyst and Business Intelligence Consultant, I gained hands-on experience with multivariate data analysis tools, developed modular reports, and implemented advanced visualization techniques. I actively contributed to data-driven solutions, showcasing my ability to support informed decision-making. This internship served as a foundational experience, allowing me to apply theoretical knowledge in a practical setting and solidify my skills in data analytics and business intelligence with an emphasis on independently delivering quality output.

My internship involved key responsibilities such as first-point subroutine maintenance, executing diagnostics, and compiling comprehensive reports. I played a pivotal role in troubleshooting enterprise devices, leveraging this opportunity to apply theoretical knowledge gained through my bursary to real-world scenarios. This internship not only enhanced my technical skills but also provided valuable insights into the operational dynamics of a leading telecom company.