Van Zyl van Vuuren

Van Zyl van Vuuren is a machine learning engineer at ScienceIO. Van has also worked as a senior data scientist/machine learning engineer at Plentify and 4G Capital. At Plentify, they provided AWS infrastructure for ML model training, hyper-parameter optimisation and deployment, and analysed and extracted features from data from a PostgreSQL database. Van also developed a serverless analytics backend on AWS with a REST API (Lambda, API gateway), and created a python Dash dashboard and provisioned AWS infrastructure for deployment (elastic beanstalk) and authentication (Cognito). At 4G Capital, they trained ML models to predict credit scores and affordability (XGoost, AWS Sagemaker), used genetic algorithms for feature selection and Bayesian optimisation for parameter tuning, developed risk-based pricing strategies and reported on key metrics, and designed and implemented a workflow on AWS to produce risk assessments for field agents (Glue, lambda, Step functions, and SageMaker).

Van Zyl van Vuuren has a Bachelor of Engineering (BEng) in Electrical and Electronics Engineering with Computer Science from Stellenbosch University. Van also has a Master of Engineering (MEng) in Electrical and Electronics Engineering from Stellenbosch University. In addition, they are certified by Amazon Web Services (AWS) in AWS Certified Machine Learning – Specialty, AWS Certified Data Analytics – Specialty, AWS Certified Solutions Architect – Professional, and AWS Certified Solutions Architect – Associate.

Van Zyl van Vuuren works with and Santosh Gupta - Machine Learning Engineer. Van Zyl van Vuuren reports to Paul Ledbetter, Director, ML Engineering.