Building operational and revenue analytics systems using SQL, Python, pandas, DuckDB, and Tableau.
Focused on:
- Revenue optimization
- Forecasting
- Operational analytics
- Business intelligence
- Marketplace and restaurant analytics
End-to-end analytics system focused on:
- Revenue optimization
- Forecasting
- AOV analysis
- Operational planning
- Business intelligence reporting
Tech Stack: SQL β’ Python β’ pandas β’ DuckDB β’ Tableau
π Repository: https://github.com/fernando-romero-data/restaurant-revenue-optimization-analysis
Operational restaurant analytics platform analyzing:
- Demand forecasting
- Order segmentation
- Staffing optimization
- Revenue trends
- Menu performance
- Operational bottlenecks
Tech Stack: SQL β’ Python β’ pandas β’ DuckDB β’ Tableau
π Repository: https://github.com/fernando-romero-data/pizza-house-sales-analysis
- SQL
- Python
- pandas
- DuckDB
- Tableau
- Jupyter Notebook
- Data Visualization
- Forecasting
- Business Intelligence
- Operational Analytics
Currently focused on:
- Operational analytics systems
- Revenue optimization workflows
- Forecasting models
- Business intelligence reporting
- Marketplace and SMB analytics