I design and deliver enterprise-grade analytics platforms — from ETL pipelines and star-schema data models to multi-panel Power BI dashboards that give executives a single, trusted operational view. My work spans healthcare operations, procurement intelligence, project governance, and HR auditing — always grounded in real business outcomes, not just charts.
What I deliver: Multi-dashboard Power BI ecosystems | Advanced DAX & Power Query pipelines | Healthcare KPI frameworks | Supply chain & procurement analytics | Automated reconciliation & audit systems | C-suite executive intelligence reports
LinkedIn | GitHub | 📧 [email protected] | 📞 +234 703 987 2731
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**Email: [email protected]
Open to Consultation Services and Remote Freelancing**
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Business Intelligence & Dashboards: Power BI (DAX, Power Query, Star Schema, Data Modelling) | Multi-panel Executive Dashboards | KPI Framework Design | Healthcare Analytics | Supply Chain Intelligence
Data Engineering & Automation: ETL Pipeline Development | Power Query Automation | Automated Reconciliation & Auditing | Star Schema Design | SQL (Complex Queries, Joins, Aggregations)
Advanced Analytics: Python (Pandas, NumPy, Scikit-learn, SHAP) | Predictive Modelling (R² 99.8%) | Demand Forecasting | Operational Intelligence | Tableau | Streamlit
Soft Skills & Delivery: C-suite Stakeholder Communication | Client Training & Enablement | Executive Report Writing | Data Storytelling | Remote Delivery
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4 Enterprise projects delivered | $21M+ Equipment spend tracked | 100+ Projects monitored across 5 regions | 92 Hospitals integrated | 113K Active staff monitored | 15 Automated audit checks built | 60% Manual processing time eliminated | 99% Staffing coverage tracked | 30+ DAX measures engineered | 6 Data sources unified into single healthcare data model
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🏥 What it solves: A regional healthcare network had no unified operational view. Executives could not distinguish structural failures from short-term demand shocks. Reports were retrospective, fragmented, and misaligned to strategic objectives.
4-Dashboard Intelligence Platform | Power BI | DAX | Power Query | Star Schema | ETL
| Dashboard | Purpose |
|---|---|
| Executive Overview | Real-time KPIs, system pressure, demand composition, AI-generated insights |
| Capacity & Throughput Control | LOS trends, bed utilisation, turnover rate, delayed discharge risk |
| Workforce & Cost Control | Staffing coverage, overtime pressure, workforce gap by facility |
| Demand Intelligence & Early Warning | Emergency forecasting, readmission risk, external pressure monitoring |
Live KPIs: Bed Occupancy 26.9% | Avg LOS 4.0 days | Staffing Coverage 99% | Readmission Rate 25.2% | External Pressure Index 0.93 | Active Staff 113K | Overtime Rate 4.20% | Emergency Admissions 754 | Demand Growth Rate 7.56%
Outcome: Shifted organisation from retrospective reporting to anticipatory governance. C-suite gained one trusted view across all operational health metrics with automated decision-rule thresholds.