Power BI · SQL · Python · DAX · Power Query · Analytics Engineering
I build end-to-end analytics solutions that turn complex operational and public datasets into governed KPIs, validated semantic models, interactive dashboards, and decision-ready insights.
My portfolio is centered on healthcare, pharmacy, retail, commercial performance, customer analytics, reconciliation, data quality, and operational decision support—with an emphasis on analytical correctness, reproducibility, and business context.
| Project | What it demonstrates | Core stack |
|---|---|---|
| Healthcare Data Governance & Quality Control Center | End-to-end governance and quality-control analytics on the CMS 2010 BSA Carrier Line Items PUF, with RAW/STAGING/ANALYTICS architecture, governed KPIs, source-conflict preservation, SQL/Python reconciliation, a 10-table semantic model, and a seven-page PBIP/PBIR report | SQL Server · Python · Power BI · DAX · PBIP/PBIR · TMDL · PowerShell |
| Transparency in Coverage PUF Analytics | End-to-end analysis of CMS insurer/plan transparency data with governed KPI logic, availability modeling, claims denials, appeals, data-quality controls, PBIP/PBIR delivery, and runtime DAX reconciliation | Power BI · DAX · Python · Power Query · PBIP/PBIR · TMDL |
| Saudi Healthcare Analytics | Official Saudi MOH healthcare statistics transformed into canonical analytical data, SQL validation, governed KPIs, and a source-controlled Power BI semantic model | SQL Server · Power BI · DAX · Python |
| Hospital360 | Production-style hospital analytics using realistic synthetic data across patient activity, claims, finance, workforce, operations, capacity, and technology reliability | PostgreSQL · SQL · Python · Power BI |
| Online Retail Growth & Customer Intelligence | Transaction-to-insight analytics covering revenue, repeat purchasing, customer value, RFM, cohorts, retention, cancellations, and management reporting | SQL Server · Python · Power BI · Excel |
| Pharmacy Category Management | Category performance, assortment, margin, inventory, supplier service, pricing, promotion, and branch-level decision support | SQL Server · Python · Power BI |
| Regional Sales Performance Analytics | Budget gaps, LFL performance, AST, customer traffic, recovery analysis, lifecycle effects, and offline Windows analytical delivery | Power BI · JavaScript · Tauri · SQL |
| Transaction Reconciliation & Anomaly Detection | Explainable matching, reconciliation, exception handling, anomaly detection, and financial exposure analysis | Python · SQL · Power BI |
- Healthcare Analytics — claims, utilization, capacity, workforce, hospital operations, payer analytics, pharmacy operations, and performance
- Business Intelligence — semantic models, governed DAX, Power BI, KPI frameworks, executive dashboards, and analytical storytelling
- Analytics Engineering — canonical datasets, dimensional modeling, grain control, validation, reconciliation, and reproducibility
- Pharmacy & Retail Analytics — sales, category management, inventory, pricing, suppliers, customer behavior, and branch performance
- Commercial Analytics — revenue, budget variance, customer contribution, performance diagnostics, and management decision support
- Data Quality & Governance — duplicate/orphan detection, availability semantics, KPI reconciliation, exception handling, and analytical controls
Power BI · DAX · Power Query · PBIP · PBIR · TMDL · Excel
SQL Server · PostgreSQL · Python · pandas · NumPy · openpyxl
Dimensional Modeling · Canonical Data Models · KPI Contracts · Data Quality · Reconciliation · Validation Workflows
Git · GitHub · HTML · CSS · JavaScript · Tauri
Business Problem → Analytical Questions → Grain & Keys → Data Quality → KPI Contracts → Data Model → Validation → Visualization → Insight → Action
My projects consistently emphasize:
- validating grain, keys, and relationships before aggregation
- separating zero, missing, suppressed, and not-applicable values
- using governed and reusable KPI definitions
- reconciling important metrics independently
- preserving source anomalies instead of hiding them
- separating descriptive evidence from unsupported causal claims
- designing dashboards around business decisions, not decoration
- keeping analytics reproducible and reviewable through source control and validation
Healthcare & Payer Analytics · Healthcare Data Governance & Quality · Hospital Operations · Pharmacy & Retail Analytics · Sales & Commercial Performance · Customer Intelligence · Category Management · Inventory Analytics · Transaction Reconciliation · Data Quality & Analytics Governance
- Prescription Operations Analytics
- Pharmacy E-commerce Category Analytics
- Pharmacy Product Analytics
- Pharmacy Stock Analytics
- Branch Performance KPI Dashboard
I am focused on opportunities in Data Analytics, Business Intelligence, Healthcare Analytics, Commercial Analytics, and Performance Analytics, especially where Power BI, SQL, Python, analytical modeling, and business-domain understanding are used together.
- Healthcare Data Governance & Quality Control Center
- Transparency in Coverage PUF Analytics
- Saudi Healthcare Analytics
- Hospital360
- Online Retail Growth & Customer Intelligence