Portfolio & Key Projects
A selection of applied data analytics and culinary operations projects focused on improving efficiency, profitability, and service quality through measurable, data-driven outcomes.
Culinary Operations KPI Dashboard
Designed an interactive Power BI dashboard to track real-time food cost percentage, waste levels, inventory turnover, labour efficiency, and production KPIs across multi-station kitchen operations.
Enabled faster management decisions and reduced cost leakage through weekly performance reviews.
Tools: Power BI, SQL, Excel
Menu Engineering & A/B Testing
Conducted structured A/B testing on menu layouts, pricing tiers, and dish placement to measure impact on average check value and item conversion rates.
Data insights guided strategic menu redesign to prioritise high-margin, high-demand items.
Tools: Python, Excel, Statistical Analysis
Inventory Forecasting Model
Built a time-series forecasting model to predict ingredient consumption based on historical sales, seasonality, and event-driven demand.
Reduced stockouts, over-ordering, and emergency procurement while improving supplier planning.
Tools: Python, Statsmodels, Pandas
Heritage Fine Dining Tasting Menu
Developed a six-course heritage-inspired tasting menu incorporating seasonal, locally sourced ingredients, full recipe costing, yield analysis, and detailed plating guides.
Balanced culinary storytelling with targeted gross profit margins.
Focus: Menu Design, Cost Control, Seasonal Sourcing
Kitchen Efficiency & Service-Time Analysis
Analysed service ticket times across peak periods to identify bottlenecks in prep flow, staffing, and equipment utilisation.
Implemented workflow adjustments that reduced average ticket time and improved guest satisfaction.
Tools: Excel, Process Mapping, Operational Analytics