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.
Menu Profitability Dashboard
Analysed a 60-item restaurant menu using the Star/Plow Horse/Puzzle/Dog matrix — layering food cost %, contribution margins, and cover counts to identify which dishes truly drive profit.
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 across France and Europe — and open to relocation to New Zealand and Australia.
Start a conversation.
Whether it's a project, a role, or just a curious question about hospitality data — get in touch.