Amanda Sibanda
Summary
Analytical and versatile professional with experience across business intelligence, data science, and financial risk analytics. Skilled in Power BI, SQL, Python, statistical modelling, machine learning, and data visualization, with a proven ability to transform complex data into actionable insights. Experienced in developing reporting solutions, predictive models, and data-driven strategies to support business decision-making. Strong quantitative foundation in Mathematics, Statistics, Economics, and Finance, complemented by AWS certifications and ongoing Financial Risk Manager (FRM) studies.
Overview
1
1
Language
1
1
Certification
2
2
years of professional experience
Work History
Data Analyst - BI Development
Customer Loyalty Consultants
Centurion, South Africa
06.2026 - Current
- Develop, maintain, and enhance business intelligence dashboards and KPI reporting across Claims, Call Centre Operations, Finance, Procurement, and other business functions.
- Consolidate reporting solutions to establish a single source of truth, improve data governance, and reduce reporting duplication.
- Translate business and reporting requirements into actionable dashboards, reports, and analytics to support operational and strategic decision-making.
- Extract, analyse, and validate data using SQL, ensuring accurate and reliable reporting.
Data Scientist – Insurance (Credit Risk Modelling)
Sand Technologies
Remote
09.2024 - 08.2025
- Built and iterated PD models using Logistic Regression, Random Forest, and CatBoost for insurance credit risk.
- Engineered risk features using WoE, IV, binning, bureau data enrichment (Experian), and exposure‑weighted sampling.
- Evaluated models with AUC, Brier Score, KS, F1, calibration curves, and stability metrics.
- Interpreted model outputs using SHAP, WoE contributions, and risk segmentation for decisioning.
- Analysed portfolio risk shifts, expected losses, and margin implications.
- Designed experiments to test predictiveness of new features and segmentation strategies.
- Collaborated with engineers, analysts, and business stakeholders for model deployment and monitoring.
- Produced model documentation aligned with governance and audit standards.
Data Science Intern - Utilities (AI in Water Mgmt)
Sand Technologies
Remote
03.2024 - 06.2024
- Processed large acoustic datasets to develop leak-detection insights.
- Built RNN-based leak detection model from acoustic time-series.
- Produced visual reports for operational teams to understand leak likelihood.
- Deployed a Streamlit app to support real-time monitoring.
Education
Data Science, Data Analytics
ExploreAI Academy
2024
Bsc. Mathematical Statistics, Economics and Finance - Incomplete
University of Johannesburg
Skills
- Analytics & BI: SQL, Power BI, Dashboard Development, KPI Reporting, Data Visualization, Data Governance, Data Modeling
- Data Science: Python, Machine Learning, Predictive Modelling, Statistical Analysis, Feature Engineering, Model Evaluation
- Risk Analytics: Credit Risk Modelling, PD/EAD/LGD Modelling, WoE/IV, Segmentation, SHAP, Model Monitoring
- Tools: Python, Excel, Git, MLflow, Notion
- Business Skills: Data Storytelling, Stakeholder Engagement, Documentation, Reporting
Languages
English
Proficient
C2
Certification
- AWS Cloud Practitioner
Notable conferences & presentations
Deep Learning IndabaX SA 2024 - poster presentation on acoustic loggers for leak detection in water distribution networks
Hobbies and interests
Reading : mainly memoirs
Timeline
Data Analyst - BI Development
Customer Loyalty Consultants
06.2026 - Current
Data Scientist – Insurance (Credit Risk Modelling)
Sand Technologies
09.2024 - 08.2025
Data Science Intern - Utilities (AI in Water Mgmt)
Sand Technologies
03.2024 - 06.2024
Data Science, Data Analytics
ExploreAI Academy
Bsc. Mathematical Statistics, Economics and Finance - Incomplete
University of Johannesburg