Rulof Burger

Rulof is an econometrician, game theorist, and behavioural and labour economist. He has a part-time associate professor position at the University of Stellenbosch, a doctoral degree from the University of Oxford, and master’s degrees from the University of Cambridge and the University of Stellenbosch.

Neil Rankin

Neil is focused on making the most effective use of data within an organisation and on building solutions and teams to make this possible. He has degrees from the University of Cape Town and Simon Fraser University, and a doctorate from the University of Oxford.

Richard Barry

Richard is engaged with the development of customer centric solutions and the use of the Internet of Things to capture data for further analysis. He has a computer science and electrical engineering background; and completed his graduate studies at the University of Stellenbosch. He is also responsible for new business developments and building client relationships.

Kevin Kotzé

Kevin is primarily interested in deep learning, the application of Bayesian methods, forecasting and the modelling of variables that evolve over time. He completed his graduate studies after receiving a doctorate from the University of Stellenbosch and has over twenty years of corporate and academic experience.

Cobus Burger

Cobus enjoys building and applying probabilistic models which have been applied in a variety of contexts. He has taught graduate econometric courses at the Universities of Cape Town and the Western Cape. He completed his graduate training at the University of Oxford and the University of Stellenbosch, and is in the process of completing a post doctoral fellowship.

Hendrik van Broekhuizen

Hendrik is interested in data management, data science workflows, and the visualisation of results. He completed his doctoral studies at the University of Stellenbosch where his research focussed on the linkages between education, skills development, and labour market outcomes.

Diana Pholo

Diana is interested in intelligent systems, natural language processing, chatbots,  and integrating machine learning models into web applications. She has nine year experience lecturing at the Tshwane University of Technology, where she completed her MTech in Intelligent Industrial Systems. She also holds an MSc in Electrical and Electronic Systems from the French-South African Institute of Technology.

Michael Hamman

Michael is involved across the data science pipeline from data extraction and ingestion, through exploratory analysis, building interactive data visualisations and maintaining machine learning models in production. He completed his master's degree in economics at the University of Stellenbosch.

Mahlatse Mashala

Mahlatse has a keen interest in machine learning models, reporting and data visualization, and how data science can be used to solve real business problems.  She holds a degree from the University of Cape Town, where her focus areas of study were in economics and statistics.  She is in the process of completing her BCom Honours degree in Financial Analysis and Portfolio Management at the University of Cape Town.