Bhekumuzi Ntombela

Identified valuable data sources and automate
collection processes.
Undertook preprocessing of structured and
unstructured data
Performed large amounts of data to discover
trends and patterns
Built predictive models and machine-learning
algorithms to solve business problems
Propose solutions and strategies to business
problems

Implemente various time series forecasting techniques to
predict water demand from each hydraulic system for every
15 minutes.
-Assess data quality, cleansing and structuring for
downstream processes.
-Apply the scientific method to data and problems to
establish, test and refine hypotheses.
-Visualize and present scientific results effectively for a
business audience.
-Generate actionable insights for business improvements
(and develop measures to track business improvement).