Designed and implemented an interactive Power BI dashboard to track real-time food cost percentage, waste levels, inventory turnover, labor efficiency, and production KPIs across multi-station kitchen operations.

Enabled faster management decisions and reduced cost leakage through weekly performance reviews and data-driven operational adjustments.

Conducted structured A/B testing on menu layouts, pricing tiers, and dish placement to measure impact on average check value and item conversion rates across different customer segments.

Data insights guided strategic menu redesign to prioritize high-margin, high-demand items, resulting in increased profitability and customer satisfaction.

Built a time-series forecasting model using Python to predict ingredient consumption based on historical sales data, seasonality patterns, and event-driven demand fluctuations.

Reduced stockouts by 40%, minimized over-ordering waste by 25%, and improved supplier planning efficiency through accurate demand predictions.

Developed a six-course heritage-inspired tasting menu incorporating seasonal, locally sourced ingredients, complete recipe costing, yield analysis, and detailed plating guides for consistent execution.

Successfully balanced culinary storytelling with targeted gross profit margins, creating a unique dining experience that increased average check value by 35%.

Analyzed service ticket times across peak periods to identify bottlenecks in prep flow, staffing allocations, and equipment utilization through detailed process mapping and time-motion studies.

Implemented workflow adjustments and station reorganizations that reduced average ticket time by 22% and improved guest satisfaction scores by 18%.

Developed an integrated dashboard analyzing customer feedback from multiple channels (reviews, surveys, social media) using sentiment analysis and text mining techniques to identify improvement opportunities.

Provided actionable insights that guided service improvements, resulting in a 30% increase in positive reviews and enhanced customer loyalty metrics.