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<!DOCTYPE html>
<html lang="en-us">
<head>
<!-- Metadata -->
<meta charset="UTF-8">
<meta http-equiv="X-UA-Compatible" content="IE=Edge">
<meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1.0, user-scalable=no">
<title>Bjarke Kingo, Technical Lead & Senior Data Scientist</title>
<!-- CSS -->
<link rel="stylesheet" href="assets/css/reboot.css">
<link rel="stylesheet" href="assets/css/theme.css">
</head>
<body>
<div class="container">
<h1>Bjarke Kingo</h1>
<h2>Technical Lead & Senior Data Scientist</h2>
<p>Bjarke has a background in computer science (M.Sc.) from University of Copenhagen, and have in his career worked in different areas of the tech domain, from data science & data engineering to more product-oriented work within backend development, code- and cost optimization, infrastructure, databases & APIs, with hosting and computation running on cloud resources.
<br>He have experience within the industries of Consultancy, Transport & Logistics, Sports & Sports betting, Pharmaceutics, and Ecommerce.
<br>Bjarke enjoys working with products consuming huge amounts of data that utilizes statistical models and/or data science to claim a competitive edge in interesting competitive markets, that ultimately brings valuable insights for the end client.
<br>In his spare time he enjoys weightlifting, handball, and maintaining his top 1% worldwide position in the online computer game Dota 2. He also likes to tinker with quantitative finance, and use theoretical models to navigate his way through trading positions.</p>
<h2>Theses</h2>
<a href="https://github.com/Pjuske/Masters-Thesis/blob/master/Masters%20Thesis%20-%20Bjarke%20Kingo%20Iversen%20%26%20Susanne%20Truong.pdf">
<div class="button">
<b>Master's thesis</b><br>
Optimizing Win Probability in Team Sports Using Data Analysis and Machine Learning
</div>
</a>
<br>
<a href="https://github.com/Pjuske/Bachelors-Thesis/blob/master/Iversen-Truong-BachelorsThesis.pdf">
<div class="button">
<b>Bachelor's thesis</b><br>
Bellman Ford, Dijkstra’s, and A* search — Analysis and implementation of 3 shortest path algorithms
</div>
</a>
<br>
<div class="flex-section">
<div class="get-in-touch">
<h2>Get in touch</h2>
<div class="buttons">
<a class="button" href="https://www.linkedin.com/in/bjarkekingo/">
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<a class="button" href="https://www.instagram.com/bjarkekingo/">
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<a class="button" href="https://www.facebook.com/BjarkeKingo">
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</div>
<!-- <div class="more-about-me">
<h2>More about me</h2>
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Books I'm currently reading
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<div class="book">
<b>Kriser, krak og kaviar</b><br>
by Lars Tvede
</div>
<div class="book">
<b>High Performance Python</b><br>
by Micha Gorelick & Ian Ozsvald
</div>
<div class="book">
<b>The Art of War</b><br>
by Sun Tzu
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<div class="book">
<b>The Mom Test</b><br>
by Rob Fitzpatrick
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</div>
</form>
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<br><br>
<p>Website by <a href="https://steffengivard.dk" target="_blank" rel="external author license" >Steffen Givard</a></p>
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