Amogelang Seipone

BSc IT graduate (Mathematical Statistics & Computer Science, 75%) currently working in a Work Integrated Learning (WIL) programme involving client-facing data science and analytics projects. Strong foundation in statistical modelling, machine learning, Python (pandas, scikit-learn, matplotlib), SQL, and Power BI.

Experience in building and evaluating models, data cleaning, feature engineering, imbalanced learning (SMOTE), and developing dashboards to support data-driven decision-making. Focused on applying machine learning and analytics to solve real-world business problems.

Junior Data Engineer (AI/ML Focus) at CCI Global (2026-03 – Present)

Work Integrated Learning (WIL) Programme

• Build and maintain data pipelines, ETL processes, and data integration workflows for client projects.
• Use Python and SQL for data cleaning, transformation, and machine learning preparation.
• Collaborate with project teams to deliver data-driven solutions for business needs.
• Apply data engineering and AI/ML concepts in real-world client environments.

Demonstrator at University of the Free State (2023-03 – 2023-05)

• Supported students with practical computer literacy; explained complex concepts clearly.

Transcriptionist at Rev (2021-09 – 2021-10)

• Accurate transcription with flexible 25–30 hrs/week – strong attention to detail.

Bachelor of Science in Information Technology in Mathematical Statistics and Computer Science – University of the Free State (2023 – 2025)