I am Mikkel Hansen, an experience Data Scientist. I have a strong background in mathematics and physics.

Work Experience

Vital Beats

4 years

I focused on understanding our data and finding problems that could be meaningfully addressed using data science and machine learning. I help set the direction of Vital Beats’ Data Science efforts while remaining hands-on.

  • Grew the Data Science team from 1 to 5 employees.
  • Assisted in attracting soft funding and investments.
  • Developed algorithm to predict severe cardiac arrhythmia for cardiac device patients.
  • Developed algorithms to characterise ECG data and suggest medical diagnoses.
  • Set up system for reproducible research based on Jupiter Notebook and internal Python Modules.
  • Conduct user studies of arrhythmia prediction at the hospital.
  • Set up a Data Warehouse on a Windows machine.

Head of Data Science

Mar 2019 - Mar 2021 (2 years)

Data Scientist

Apr 2017 - Mar 2019 (2 years)

Roskilde University and Laboratoire Léon Brillouin

3 years I studied the structure and dynamics of hydrogen-bonded liquids using a variety of different experimental techniques. The focus was on understanding the dynamics of supra-molecular clusters in a large range of temperatures, including how the dynamics influence the crystallization process.

  • Presentation.

Ph. D. Student

Dec 2013 - Mar 2017 (3 years)


Masters in Math and Physics from Roskilde University

Bachelor in Math and Physics from Roskilde University


  • Machine Learning
  • Data Science
  • Data visualization
  • Signal processing
  • Time-series analysis
  • Research
  • Presenting
  • Management


  • Python
  • Numpy
  • Pandas
  • Scikit-learn
  • Matplotlib
  • JavaScript
  • D3.js
  • Tableau
  • C#
  • Make