experience with machine learning, deep learning, and statistical analysis. Responsibilities: Data Analysis and valuable information from large datasets Apply statistical techniques and hypothesis testing to validate experience with machine learning, deep learning, and statistical analysis Proficiency in data analysis and machine
Categorise products Classify events Determine statistical forecast methods to be used Compile, update,
Commerce; Business Science; Mathematics; and Statistics Degree GPA - 65% Strong client focus and interest
Categorise products Classify events Determine statistical forecast methods to be used Compile, update,
accurate business information regarding cost and statistical data used for e.g. improved decision making and
initiatives including implementation of learnerships, internships and skills programmes. Driving and execution
initiatives including implementation of learnerships, internships and skills programmes. Driving and execution
role can be advantageous. This could include internships, part-time jobs, or volunteer positions. Specific
role can be advantageous. This could include internships, part-time jobs, or volunteer positions. Specific
of findings. Submit weekly/monthly reports on statistics. Verify sub-contractor's files monthly to ensure