Retail & Category Management | Healthcare Analytics | Supply Chain & Inventory
I turn complex datasets into reliable KPIs, reproducible analytical models, and actionable decisions — combining business-domain knowledge with SQL, Python and Power BI.
Power BI / DAX · SQL · Python · Power Query · PostgreSQL · DuckDB · Excel · GitHub Actions
Retail promotion decisions backed by financial governance, causal inference and constrained optimization.
120 simulated stores · 60 SKUs · 104 historical weeks · 10 Power BI pages. Python + DuckDB + PBIP/PBIR + DAX, randomized experiments, Difference-in-Differences, and evidence-gated promotion planning.
Business conclusion: the evidence is inconclusive, so the supported primary decision is no promotion rollout. The released Power BI dashboard opens from a fresh GitHub ZIP using its portable launcher; this does not imply full independent recreation of every experiment.
Explore CategoryLab 360 → · View all dashboard pages → · Run the report →
Six projects selected to demonstrate complementary retail, customer, inventory, healthcare, analytics engineering and BI capabilities.
| Project | Evidence of capability |
|---|---|
| CategoryLab 360 | Causal promotion evaluation, accounting integrity, constrained optimization, 10-page Power BI report |
| Enterprise Retail Warehouse & Inventory Intelligence | Public retail source data, Python/SQLite analytics, store/DC stock insights, 8-page Power BI report |
| Healthcare Interoperability & Claims Intelligence | Synthetic CMS/FHIR claims, PostgreSQL, dimensional modeling, CI regression, 7-page Power BI report |
| Hospital360 | End-to-end synthetic hospital data engineering and analytics, 5,000-patient baseline, 13-page Power BI report |
| Online Retail Growth & Customer Intelligence | Public UCI retail source, RFM, customer cohorts, SQL Server and Power BI |
| RetailPulse 360 | Reproducible multi-branch retail BI, dynamic KPIs and LFL, 11 report pages; Desktop QA still pending |
See dashboards from the other featured projects
| Retail performance | Warehouse & inventory |
|---|---|
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| Healthcare claims | Hospital performance |
|---|---|
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- Business & commercial analysis: sales, profitability, margins, basket size, budgets, LFL performance, assortment, supplier and inventory decisions.
- Analytics engineering: SQL modeling, Python pipelines, governed source grains, data quality, reproducible transformations and source lineage.
- Decision science: experiments, Difference-in-Differences, evidence limitations, customer segmentation and constrained optimization.
- BI delivery: Power BI, Power Query, DAX, editable PBIP/PBIR reports, automated data connections, reconciliation and documentation.
Background: Pharmacy · MBA · DataCamp Data Analyst Associate. Interested in full-time Data Analyst, BI Analyst, Healthcare Analytics and Retail/Supply Chain Analytics opportunities.
More projects: category management, governance, operations and specialized analytics
Retail, pharmacy and operations
- Pharmacy Category Management Analytics
- Regional Sales Performance Analytics
- Pharmacy Stock & Expiry Analytics
- Pharmacy Product & Assortment Analytics
- Pharmacy E-commerce Category Analytics
- Branch Performance KPI Dashboard
- Transaction Reconciliation & Exception Intelligence
- DemandFlow 360 — descriptive pilot
Healthcare and data governance
From governed data to defensible decisions.
Explore all projects · Connect on LinkedIn
Project-specific validation boundaries and data licenses are documented in each repository. Synthetic work is labeled as such; screenshots and pre-release projects are not presented as production certification.





