Kristian Vepsäläinen – Maailma on jakauma
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The World Is a Distribution

Data Science & Fractional Head of Data

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Kristian Vepsäläinen — Data Science

The world is
a distribution.

Point estimates lie. Averages mislead. The shape of uncertainty is where real understanding lives — and where competitive advantage hides.

Fractional Head of Data → See the analyses
5+ Publications
10+ Years practice
FM+MEng Math & Security
Open Data first
What I do

Distributional thinking
applied to real decisions.

I combine public datasets — legislation, labour markets, health registries, EU open data — with Bayesian methods, changepoint models, and simulation to produce analyses that domain experts cannot replicate without data science skills.

01

Bayesian inference

Posterior distributions over parameters, not p-values. Uncertainty quantified, not hidden.

02

Open data synthesis

Semantic Finlex, Eurostat, StatFin, EurLex — combined in ways no single-discipline analyst can.

03

Forecasting & simulation

Monte Carlo, generative models, changepoint detection. Predictions with explicit confidence bounds.

04

Fractional leadership

SMEs get a senior data strategy partner without hiring a full-time CDO. One day a week, full expertise.

"A single number — an average, a headline figure, a point forecast — is not an answer. It is a question about which distribution produced it."

— Kristian Vepsäläinen, maailma on jakauma
Next step

Let's talk about your data.

Whether you need a specific analysis or a fractional data science partner — the first conversation is free.

kristian.vepsalainen@proton.me
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  <a href="/whitepapers.html">Whitepapers</a>
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  <a href="/lexverse/index.html">lexverse</a>
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<section class="hero-section">
  <div class="hero-label">Kristian Vepsäläinen — Data Science</div>
  <h1 class="hero-title">The world is<br><em>a distribution.</em></h1>
  <p class="hero-sub">
    Point estimates lie. Averages mislead. The shape of uncertainty
    is where real understanding lives — and where competitive advantage hides.
  </p>
  <div class="hero-cta">
    <a href="/fractional/fractional.html" class="btn-primary">Fractional Head of Data →</a>
    <a href="/en/work.html" class="btn-ghost">See the analyses</a>
  </div>
</section>

<section class="section">
  <div class="stats-row">
    <div class="stat-item" style="text-align:center">
      <span class="stat-num">5+</span>
      <span class="stat-label">Publications</span>
    </div>
    <div class="stat-item" style="text-align:center">
      <span class="stat-num">10+</span>
      <span class="stat-label">Years practice</span>
    </div>
    <div class="stat-item" style="text-align:center">
      <span class="stat-num">FM+MEng</span>
      <span class="stat-label">Math & Security</span>
    </div>
    <div class="stat-item" style="text-align:center">
      <span class="stat-num">Open</span>
      <span class="stat-label">Data first</span>
    </div>
  </div>
</section>

<section class="section">
  <span class="section-label">What I do</span>
  <h2 class="section-title">Distributional thinking<br>applied to real decisions.</h2>
  <p style="color:#4b4b4b !important; max-width:600px; line-height:1.8; font-size:1rem;">
    I combine public datasets — legislation, labour markets, health registries,
    EU open data — with Bayesian methods, changepoint models, and simulation
    to produce analyses that domain experts cannot replicate without data science skills.
  </p>
  <div class="pillar-grid">
    <div class="pillar">
      <div class="pillar-num">01</div>
      <h3>Bayesian inference</h3>
      <p>Posterior distributions over parameters, not p-values. Uncertainty quantified, not hidden.</p>
    </div>
    <div class="pillar">
      <div class="pillar-num">02</div>
      <h3>Open data synthesis</h3>
      <p>Semantic Finlex, Eurostat, StatFin, EurLex — combined in ways no single-discipline analyst can.</p>
    </div>
    <div class="pillar">
      <div class="pillar-num">03</div>
      <h3>Forecasting & simulation</h3>
      <p>Monte Carlo, generative models, changepoint detection. Predictions with explicit confidence bounds.</p>
    </div>
    <div class="pillar">
      <div class="pillar-num">04</div>
      <h3>Fractional leadership</h3>
      <p>SMEs get a senior data strategy partner without hiring a full-time CDO. One day a week, full expertise.</p>
    </div>
  </div>
</section>

<section class="section">
  <div class="quote-block">
    <p>"A single number — an average, a headline figure, a point forecast — is not an answer. It is a question about which distribution produced it."</p>
    <cite>— Kristian Vepsäläinen, maailma on jakauma</cite>
  </div>
</section>

<section class="section" style="text-align:center; padding-bottom:6rem;">
  <span class="section-label">Next step</span>
  <h2 class="section-title">Let's talk about your data.</h2>
  <p style="color:#4b4b4b !important; max-width:460px; margin:0 auto 2rem; line-height:1.8; font-size:0.95rem;">
    Whether you need a specific analysis or a fractional data science partner —
    the first conversation is free.
  </p>
  <a href="mailto:kristian.vepsalainen@proton.me" class="btn-primary">kristian.vepsalainen@proton.me</a>
</section>
```

© 2026 Kristian Vepsäläinen

 
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