Where the kitchen
meets the data.
14 years on the floor of fine dining, cocktail bars and cafés — now turning that front-line instinct into decisions backed by data.
Two case studies in hospitality,
two beyond.
Each project is rooted in a real problem faced in hospitality operations — reframed through data analytics to demonstrate both domain expertise and technical skill. Click any card for the full case study.
Artisan Bakery — Structural Sales Analysis
Exploratory data analysis of a confidential artisan bakery's full commercial year (2025). Mapped ticket architecture, product concentration, revenue vs. volume divergence, and product affinity patterns.
Restaurant Menu Profitability Analysis
Built an end-to-end restaurant profitability analysis to evaluate menu performance using pricing, food costs, and profitability metrics. The project combines Python for data preparation and feature engineering with Tableau for interactive dashboard development, providing business insights to support pricing strategies and menu optimization.
The method,
applied elsewhere.
Two projects outside hospitality — demonstrating that the analytical approach transfers across industries and data types.
Global Retail — Customer Segments & Revenue
Analysed a ~500,000-row retail dataset (Kaggle) covering customer transactions, demographics, product-level purchases, and global regions. Applied K-Means clustering for customer segmentation, time series decomposition, and predictive modelling to uncover spending patterns and seasonal behaviour.
Citi Bike NYC — Usage Patterns & Operations
Analysed 2022 Citi Bike trip data enriched with NOAA weather data to uncover operational patterns, seasonal demand, and station-level bottlenecks across New York City. Built an interactive Streamlit dashboard for stakeholder exploration.
The tools behind the work.
The languages, platforms, and tools I use day-to-day to turn raw operational data into clear, actionable decisions.
The analyst who has worked the pass.
14 years across fine dining, cocktail bars, and cafés — now channelling that operational precision into data analytics.
My career began in fine dining, cocktail bars, and café operations — 14 years managing covers, suppliers, menus, and margins in real time. I know what it costs when a dish underperforms. I know why a Friday fish order can go wrong.
Trained in Data Analytics at CareerFoundry, with a specialisation in data visualisation with Python. Currently completing an AI for Effective Professionals programme — building applied AI systems that make analytical work faster and more impactful.
Based in Bordeaux, France. Open to roles in France.
Start a conversation.
Whether it's a project, a role, or just a curious question about hospitality data — get in touch.