Ndumiso Ngcobo

A results-driven and analytical Statistics postgraduate with strong expertise in data analysis, statistical modelling, and programming. Experienced in applying advanced techniques in time series analysis and count data modelling. Currently expanding practical skills through an AI and Data Science internship.

Highly adaptable with strong problem-solving, communication, and leadership abilities, committed to delivering data-driven insights that support informed decision-making and organizational growth.

AI and Data Science Intern at Gijima (2026-02 – 2026-08)

• Gained foundational knowledge in Microsoft Azure cloud technologies
• Applied Python and C# for data-related and AI tasks
• Developed understanding of AI and data concepts through Microsoft Azure certifications
• Worked with Microsoft Copilot to enhance productivity and automation
• Completed training in: Microsoft Azure Fundamentals, Microsoft Azure AI Fundamentals, Microsoft Azure Data Fundamentals

Tutor at University of KwaZulu-Natal (2025-01 – 2025-12)

• Assisted students in Statistics (STAT130, STAT140) and Mathematics (MATH143, MATH150)
• Facilitated tutorials and provided academic and Excel support

Supplemental Instruction (SI) Leader at University of KwaZulu-Natal (2025-01 – 2025-12)

• Led STAT140 study sessions to improve student understanding and performance
• Designed and prepared problem-solving exercises

First-Year Experience Mentor at University of KwaZulu-Natal (2025-01 – 2025-12)

• Guided first-year students academically, socially, and financially
• Supported student transition into university life

MSc in Statistics (Research) – University of Kwazulu-Natal (2024-01)

BSc (Hons) in Statistics – University of Kwazulu-Natal (2023-01 – 2023-12)

BSc in Applied Mathematics and Statistics – University of Kwazulu-Natal (2019-01 – 2022-12)