Data Analyst | Power BI · SQL · Python
I build governed analytics, executive intelligence and automated decision-support systems with a focus on reproducibility, data quality and clear business interpretation.
Johannesburg, South Africa · LinkedIn · Portfolio / author site
Executive public-data analytics system covering municipal debt, electricity demand, tariffs, financial performance and physical-security risk.
Power BI · PBIP/PBIR · TMDL · DAX · Python · SQLite
Evidence: 40 governed source records · 17 release-blocking data-quality checks · 32 automated tests · 34 explicit DAX measures · 5 report pages · deterministic rebuild validation.
Open-source Python CLI for auditing analytics and Power BI repositories before release.
Python · CLI · PBIP/PBIR · TMDL · DAX checks · CI/CD
Evidence: 15 documented release rules spanning repository hygiene, Power BI project integrity, DAX heuristics, security signals, documentation and reproducibility, with console and JSON reporting.
Repository · PyPI · v0.1.0 release
Source-controlled Power BI decision support for synthetic claims performance, financial exposure, service, operations and risk-based human review.
Power BI · PBIP/PBIR · TMDL · DAX · Power Query · Python · SQL
Evidence: deterministic data pipeline · governed star schema · 79 explicit DAX measures · 8 report pages · automated QA · hosted CI.
Portfolio projects use synthetic or public data and are designed to demonstrate engineering and analytical methods. They do not contain customer, policyholder or employer-confidential data.
- Banking Process Excellence — Lean Six Sigma DMAIC analytics for a fictional retail-banking onboarding and KYC process using synthetic data.
Python · DMAIC · SPC · MSA · DOE · Regression · CI - Motor Claims Risk Triage — capacity-constrained machine-learning review prioritisation using synthetic claims data and leakage-safe evaluation.
Python · scikit-learn · XGBoost · Decision Science · CI
- Analytics Engineering — reproducible pipelines, dimensional modelling, governed transformations, data-quality controls and CI.
- Business Intelligence — Power BI, semantic modelling, DAX, Power Query, PBIP/PBIR and executive decision support.
- Data & Automation — Python, SQL, deterministic workflows, validation and release automation.
- Decision Science — statistical analysis, hypothesis testing, ranking metrics, human-in-the-loop workflows and responsible model governance.
- Process Excellence — Lean Six Sigma, SPC, MSA, DOE, root-cause analysis and operational improvement.
Core: Power BI · SQL · Python · DAX · Power Query
Data & modelling: SQLite · dimensional modelling · TMDL · PBIP/PBIR
Engineering: Git · GitHub Actions · CI/CD · automated QA · reproducible builds
Analytics: statistical testing · predictive modelling · process analysis · decision support
My background combines financial-services and insurance operations with analytics engineering, process improvement, internal controls and risk-aware decision support. I focus on translating operational problems into measurable analytical systems that can be reviewed by both technical and business stakeholders.
For full career chronology, see LinkedIn.
- University of South Africa (UNISA) — Bachelor of Business Administration
- Microsoft Certified: Power BI Data Analyst Associate
- Microsoft Certified: Azure Data Scientist Associate
- Oracle Cloud Infrastructure Data Science Professional
- Oracle Analytics Cloud 2025 Professional
- Lean Six Sigma Black Belt