Kasper Primdal Lauritzen

Machine Learning Engineer at Vestas

Blog posts

• Use databricks profiles to emulate service principals
• Test kafka clients with Docker
• Build docker images on remote Linux VM
• Caching Docker images in Azure DevOps Pipelines
• Use pre-commit to save time and avoid mistakes
• Converting between custom dataclasses and numpy arrays
• This text does not exist
• Predicting the 2018 FIFA World Cup

Fun/silly projects

• This text does not exist - Machine generated text - Now defunct
• World Cup 2018 predictions
• AirBnb but for bathrooms - POOPR`
• Foosball tracking for financial institutions - Moneyball

Experience

• Machine Learning Engineer, 2024-present,

  AI Center of Enablement at Vestas.

• Data Scientist, 2019-2024,

  Data and Analytics at DFDS. Deploying, monitoring, packaging, and testing machine learning models.

• Data Scientist, 2017-2019,

  Pricing Excellence at Danske Bank. Predicting customer behaviour and optimizing interest rates for bank loans in several Nordic markets.

• PhD in Computational Chemistry, 2014-2017,

  Group of Gemma Solomon, University of Copenhagen. Predicting structual properties of nano-scale systems.

  Publications

Contact

• GitHub: KPLauritzen
• Twitter: KPLauritzen
• LinkedIn: KPLauritzen