I am a data analyst in the Management Information System (MIS) team at Nedbank Ltd, focusing on data integrity and analytics to identify trends and emerging risks. I develop interactive dashboards and automated reports for governance and operational purposes, providing internal business intelligence tools. Additionally, I specialize in creating machine learning models to support stakeholders in making data-driven decisions and detecting fraud in client behaviors and patterns during online banking sessions. I am excited to be starting my master’s degree at Surrey University in September 2025, which will further deepen my expertise in data science and analytics. I am driven by continuous learning and am passionate about leveraging data and technology to solve complex problems and add business value.

Khwezi Iman Kunene

I am a data analyst in the Management Information System (MIS) team at Nedbank Ltd, focusing on data integrity and analytics to identify trends and emerging risks. I develop interactive dashboards and automated reports for governance and operational purposes, providing internal business intelligence tools. Additionally, I specialize in creating machine learning models to support stakeholders in making data-driven decisions and detecting fraud in client behaviors and patterns during online banking sessions. I am excited to be starting my master’s degree at Surrey University in September 2025, which will further deepen my expertise in data science and analytics. I am driven by continuous learning and am passionate about leveraging data and technology to solve complex problems and add business value.

Available to hire

I am a data analyst in the Management Information System (MIS) team at Nedbank Ltd, focusing on data integrity and analytics to identify trends and emerging risks. I develop interactive dashboards and automated reports for governance and operational purposes, providing internal business intelligence tools. Additionally, I specialize in creating machine learning models to support stakeholders in making data-driven decisions and detecting fraud in client behaviors and patterns during online banking sessions.

I am excited to be starting my master’s degree at Surrey University in September 2025, which will further deepen my expertise in data science and analytics. I am driven by continuous learning and am passionate about leveraging data and technology to solve complex problems and add business value.

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Language

French
Intermediate

Work Experience

Data Analyst – Fraud data, systems and MI at Nedbank Ltd
January 1, 2024 - Present
Redesigned and automated the extraction and collation of statistics for governance reporting. Conducted trend investigations in fraud cases and created forecasting models to support data-driven decision-making. Developed and managed automated reports and dashboards for operational statistics including KRIs and performance metrics. Identified and resolved data processing issues for group broadcast messages. Facilitated easy access to stakeholder data to enhance monthly and quarterly reporting. Developed an unsupervised machine learning model to detect fraudulent behavior in clients' online banking sessions.
Group Risk Trainee Analyst at Nedbank Ltd
December 31, 2023 - September 4, 2025
Performed data cleaning and preparation of large datasets to ensure accuracy, integrity, and relevance. Analyzed data to identify patterns, relationships, and trends. Prepared reports and presentations to communicate data insights to stakeholders using visual representations. Collaborated with stakeholders to understand business processes and developed dashboards to enable data-driven decisions.
Business Analyst Trainee at Brainnest, Germany (Remote)
January 1, 2021 - Present
Collaborated globally with trainees on multiple projects and complex assignments. Addressed problems within projects by presenting solutions and strategies. Applied business analysis techniques to improve processes and meet stakeholder needs. Developed skills in critical and creative thinking, planning, and multitasking. Presented creative, concise, and optimal solutions for client assessments.

Education

Bachelor of Science (BSc) Mathematical Sciences, Mathematical Statistics at Stellenbosch University
January 11, 2030 - September 4, 2025
Bachelor of Commerce Honours (BCom Hons) Operations Research at Stellenbosch University
January 11, 2030 - September 4, 2025
Masters (MSc) in Data Science at Surrey University
September 1, 2025 - September 4, 2025

Qualifications

Machine Learning A-Z: R & Python – Udemy
January 11, 2030 - September 4, 2025
Diplôme d’études langue français (DELF) A2 – Alliance Français, Afrique du Sud
January 11, 2030 - September 4, 2025

Industry Experience

Financial Services, Software & Internet, Professional Services, Education, Other