- Dashboards stakeholders use (Power BI/Tableau) for operational + financial visibility
- Accurate reporting via validation, reconciliation, and repeatable logic
- KPI definition + tracking: volume, refunds, fulfillment, variance, compliance
- Decision support for finance + operations (month-end + audit readiness)
- 📦 Order Lifecycle: volume, status, fulfillment, cancellations
- 💰 Refunds & Adjustments: refund rate, reasons, reconciliation
- 🧮 Inventory & SKU Performance: accuracy, movement, exceptions
- 📉 Variance & Trends: budget vs actual, performance shifts
- ✅ Data Quality: validation checks, audit-ready reporting
Tip: Pin your best 4–6 repos on your GitHub profile.
-
BI Dashboard – Sales & Operations KPIs
Power BI-style reporting with KPIs, drilldowns, and trend views -
E-commerce Order & Refund Analysis (SQL + Excel)
Order lifecycle metrics, refund trends, category performance -
Finance Reporting – Month-End Support
Reconciliation logic + repeatable reporting tables -
Data Cleaning & Validation Toolkit
Templates for accuracy checks + anomaly detection
Copy this checklist into each project repo README:
- Business Problem (what decision this supports)
- Data (tables/fields + granularity)
- KPIs (definitions + formulas)
- Approach (cleaning, validation, logic)
- Dashboard Views (page-by-page breakdown)
- Insights (what changed / what was found)
- How to Run (SQL scripts / PBIX / dataset steps)
- Screenshots (1–3 key dashboard images)
- Based in Texas (Rosenberg / Missouri City area)
- Interested in BI / Reporting / Ops Analytics / Finance Analytics roles
- Master's in Data Analytics (May 2025)
- GitHub: https://github.com/HardiRaval
- LinkedIn:
- Email:
⭐ If you find something useful here, feel free to star a repo or connect.