You have data. You don't have answers.

Your CRM has three years of history. Sales live in an ERP. Marketing campaigns generate metrics every single day. It's all stored somewhere. And yet, when the board asks "where's our next growth lever?", nobody knows.

The problem isn't data access. It's that nobody has actually dug into it. Not a pivot table. Not an Excel filter. Dug into it. With the right statistical methods, the right algorithms, and the right questions.

Your competitors growing faster aren't necessarily better than you. They just have someone digging through their data to find what dashboards don't show.

What I do

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. Correlation circles to understand which variables move together. Clustering to segment your customers, products, or markets in ways intuition never would. This isn't reporting. It's exploration. And that's usually where the real levers are.

Ad-hoc analysis: concrete answers to specific questions

"Why have we been losing customers for 6 months?" "Which customer profile generates the most margin?" "Is our pricing consistent with the market?" 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 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? 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

How much does an 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.

Is my data clean enough for analysis?

Probably not, and that's normal. Cleaning and preparing data is part of my job. If your data is too incomplete to answer your question, I tell you during the initial exploration, before billing for an analysis that would go nowhere.

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.

What's the difference between you and a consulting firm?

One person who does the work himself. No salesperson who sells a project that someone else delivers. No 80-page report that nobody reads. I deliver clear answers to concrete questions, and you have my direct number.