64
Independent Data Consulting

Asked.
And answered.

One move at a time

You have data, and a question you can't quite articulate — or a vision you can't quite execute. An economist sits down with you, finds the shape of the problem, and works through it in sequence.

Start the conversation See if this is you

Two kinds of client.
One kind of problem.

The Question Client

You have data.
You have a feeling.
You need an answer.

Something is off, or something is possible — you can sense it in the numbers, but you can't yet say what it is. You need someone to sit with the ambiguity, ask the right questions, and build toward clarity.

"We have tonnes of data but I don't know what it's telling us."
"We think there's an opportunity here but we can't see it yet."
"We keep reporting the same metrics and none of them feel useful."
The Vision Client

You know what
you want to build.
You need it done.

The destination is clear, but the path isn't. You have a technical vision — a data model, a reporting layer, an analytical capability — and you need someone to break it into a sequence and execute it precisely.

"We need a single source of truth but don't know where to start."
"We want our team to be self-serve with data — how do we get there?"
"We need this built properly, not just quickly."

Both paths lead to the same place: a clear question, a clean answer, and the confidence to act on it. The work is finding the sequence that gets you there.

This sounds like me

The
sequence.

Every engagement follows the same logic: define the question before you build the answer. Each step only begins when the previous one is solid. One move at a time — no wasted effort, no backtracking.
01
Define the
Question
We begin before the data. What are you actually trying to know? What decision hangs on the answer? This is where an economist's training earns its keep — turning a vague instinct into a precise, answerable question.
Data Strategy · Measurement Design
02
Build the
Answer
With the question clear, we construct the analytical layer to answer it. Pipelines, models, statistical analysis — built for the question, not for the sake of completeness.
Analytics · Statistical Modelling · Machine Learning · Data Engineering
03
Communicate
the insight
An answer that can't be acted on isn't finished. We shape the findings into something your team, your board, or your investors can read, trust, and move on — without a statistics degree.
Storytelling · Board Packs · Investor Narrative

On thinking
before
measuring.

Sixty-Four is an independent data consultancy. I work with startups and scale-ups at the point where data and decision-making meet — usually when something important is unclear and someone needs to make it legible.

Most data problems are not technical problems. They are clarity problems — the right question wasn't asked, the right signal wasn't surfaced, or the numbers told a story no one thought to read. A background in behavioral and quantitative economics means I approach data the way a researcher does: hypothesis first, method second, conclusion only when it's earned.

The most common mistake is reaching for a tool before the question is formed. A dashboard built around the wrong metric isn't just useless — it is actively misleading. The work always begins with sitting down and thinking carefully about what you actually want to know.

"The name comes from the 64 squares of a chessboard — not because data is a game, but because every position has more structure than it first appears. The work is in learning to see it."

Meet your
consultant.

Photo
Julia Francesca Engel
Founder

One consultant.
Full focus.
Every time.

When you engage with Sixty-Four, you work directly with me — from the first conversation to the final deliverable. No hand-offs, no junior analysts running your numbers, no account managers in between.

I am a behavioral economist with a quantitative PhD and a track record that spans financial analysis at Moody's, economic policy research at the German Council of Economic Experts, and four years leading research projects and teams at Kiel University. I have spent years turning messy, unconventional data into findings that hold up to scrutiny — and then explaining those findings to people who didn't want a methods section, they wanted an answer.

What that gives you is someone who brings academic rigor without academic distance. I design the question, build the analysis, and deliver the insight — and I stay in the room until it makes sense.

Education
PhD Quantitative Economics, Kiel University (exp. 2026) · MSc Quantitative Economics · BSc Management & Economics
Research
Visiting researcher at King's College London, Paris Panthéon-Assas, and City St George's University of London
Industry
Associate Analyst, Moody's Investor Services · German Council of Economic Experts
Methods
Research design · multivariate analysis · machine learning · data pipelines · statistical modelling · R · Stata · Python · SQL
Languages
English (native) · German (native) · French (working)
Based
Berlin · Available remotely worldwide

What's
the question?

You don't need to have it fully formed. That's the point. Tell me where you are — even if it's just a feeling — and we'll find the shape of it together.

[email protected]
Available for project work
Berlin · Remote
I typically respond within 48 hours. Send