Nolusindiso Ntwana

Built and deployed an intelligent revenue optimisation model aligning supply and demand to an £850m revenue target, improved margin management (45.89% target) and tracked a £11m weekly revenue stream via PowerBI dashboards.

Lectured operations research methods to 45 postgraduate students, emphasizing real-world applications and optimization techniques.

Reduced churn-related revenue loss by 10% through customer behavior models, ensured R300k daily sales reporting alignment for 1,300 contracts and allocated R3.1m monthly unallocated sales to correct accounts.

Built predictive models to optimize nurse-to-patient ratios using survey data from 4,200 nurses, identifying a 30% decline in outcomes when staffing dropped below two registered nurses per shift.

Developed mathematical and simulation models that improved Transnet Natal Corridor efficiency, delivering approximately R210m in combined cost and infrastructure savings and a 15% business performance improvement.

Completed a Master of Science in Industrial Engineering with research focused on optimization and capacity planning.

Completed a postgraduate qualification in Industrial Engineering building on engineering and modeling competencies.

Earned a Bachelor of Science in Mathematical Sciences with coursework and training in mathematical and statistical modeling.