Annecy runs on precision. Your data analysis doesn't.

The Arve Valley has 600+ precision machining companies and 10,000 industrial jobs. Each one generates production, quality, and maintenance data. Excel files travel between the shop floor and management. Reporting happens manually, on Fridays. But reporting is not analysis. Nobody digs in to find out why machine 7 has a scrap rate 3x higher on Tuesday mornings.

Tourism around the lake pulls 1.8 million visitors a year. Hotels, restaurants, activity providers sit on booking and occupancy data. Yet when a hotelier wants to know which guest profile generates the most margin, there's no answer. Just a hunch.

Salomon, NTN, Dassault, Entremont: the big players have data teams. But the 50-person aerospace subcontractor in Argonay? The family-run cheese cooperative? They don't have a data analyst. They have Jean-Marc who's "good with computers" and a pile of CSVs nobody opens.

The problem isn't missing data. It's that nobody asks it the right questions. Not a pivot table. Not an Excel filter. The right questions. With the right statistical methods.

What I do for businesses in Annecy

Exploratory analysis: finding what you weren't looking for

You have a business question? I take your raw data and dig. Principal Component Analysis (PCA) to cut through complexity and reveal hidden structures in your production data. Correlation circles to understand which variables move together. Clustering to segment your customers, products, or markets in ways intuition alone never would. For a precision machining shop in the Arve Valley, that might reveal correlations between machine parameters and scrap rates. For a tourism operator, guest segments with radically different booking behaviors. This isn't reporting. It's exploration.

Ad-hoc analysis: concrete answers to your questions

"Why have we been losing customers for 6 months?" "Which tourist profile generates the most net margin?" "Is our pricing consistent with the market between Annecy and Geneva?" Every business question has an answer sitting in your data. I build the analysis end to end: extraction, cleaning, statistical exploration, results visualization. You walk away with a clear deliverable and actionable recommendations. Not an 80-page report.

Opportunity detection: making your data work for growth

Most companies in the Annecy basin use their data to look backward. How much did we sell, how much did we spend, what was the conversion rate. I do the opposite: I use your data to look forward. Which market segments are underexploited in the Annecy-Geneva corridor? Which products could be bundled based on actual buying behavior? Which correlations between your marketing actions and your sales have never been measured? That's the kind of analysis that turns a data cost into an investment.

How it works

1. Scoping call (free, 30 min)

You tell me your business question. No need for a structured brief: "we feel like we're missing something in our customer data" is a perfectly fine starting point. I tell you if the analysis is feasible and what I need to get started.

2. Data access and initial exploration

I get your data (export, API access, SQL database, whatever the format). I do a first pass: data quality, usable volume, early patterns. Within a few days, you get an honest assessment of what the data can and can't tell you.

3. Deep analysis

This is the core of the work. PCA, clustering, statistical tests, correlation models: I apply the methods that fit your question. Not data science for the sake of it. Every technique is chosen because it solves a concrete problem.

4. Deliverable and recommendations

You get a visual report with the key findings, the visualizations that matter, and concrete recommendations. I walk you through the results on a call, answer your questions, and make sure you know exactly what to do with what we found.

Tech stack

Pythonpandasscikit-learnmatplotlibseabornSQLBigQueryJupyterLooker StudioTableau

Frequently asked questions

You're based in Tbilisi. How does that work for a client in Annecy?

Video calls, shared reports, async updates. I've worked this way for years and it works better than most on-site setups. For kickoff or sensitive phases, I come on-site. Annecy is a direct flight from where I am. And honestly, the 50-person machining company in Thyez doesn't need me sitting in their office. They need their analysis delivered on time.

How much does a data analysis cost?

Depends on the complexity of the question and the data volume. A focused ad-hoc analysis is a few days of work. A full dataset exploration with segmentation and modeling, more like one to two weeks. We scope the budget together on the first call, and if the project doesn't justify the investment, I'll tell you.

Why not just hire Sopra Steria? They're literally headquartered in Annecy.

Sopra is great if you need 15 consultants for an 18-month ERP migration. If you need one person who digs through your data for two weeks and delivers clear answers, that's not their model. I work with the companies that are too small for Sopra and too ambitious for "my nephew knows Excel."

We don't have a data scientist in-house. Is that a problem?

That's exactly why I'm here. You don't need a permanent data team to ask a one-off question to your data. I run the analysis, present the results in a format your team understands, and document everything so you can reuse the insights.