Christopher Buch Madsen

Christopher Buch Madsen

BSc, Artificial Intelligence

University of Amsterdam

Biography

Originally from Denmark, I have been living in Alkmaar since 2015. My background is in Artificial Intelligence and my professional passion is using Data Visualization, Machine Learning and Explainable AI methods to shape creative and original data solutions. Outside of work, I love eating and cooking new food 🍜, travelling the globe πŸš€ and playing boardgames 🎲. Recently I’ve started dabbling in game development, and making my own sourdough.I’ll never decline a cup of coffee β˜• or a sweaty game of Mario Kart.

Interests

  • Machine & Deep Learning
  • Data Visualization
  • Explainable AI
  • Software Engineering

Education

  • BSc in Artificial Intelligence, 2021

    University of Amsterdam

  • High school (Math, Chem, Bio), 2012

    Favrskov Gymnasium (Denmark)

Experience

 
 
 
 
 

Data Scientist (Part Time)

Churned

Dec 2023 – Present Amsterdam, Noord-Holland

Currently doing a bespoke project on:

  • Generating Customer Success Manager check-in emails for churn risk triggers, using Large Language Models.
 
 
 
 
 

Data Scientist

Machine Learning Programs

Apr 2021 – Mar 2023 Amsterdam, Noord-Holland

General Roles:

  • Develop end-to-end machine learning applications, from raw data, to modeling, to model API and deployment.
  • Mentor junior interns from the AUC.

Projects & Products:

  • Imbalanced classification of water damage claims.
  • Market segmentation with emphasis on segment explainability.
  • Developed models for the MLP Score, moving MLPrograms towards becoming a product company.
  • Tooling for generating ML model APIs with FastAPI.
  • Research in adopting column-oriented databases.
 
 
 
 
 

Data Scientist

Vacanceselect

Aug 2018 – Jan 2020 Alkmaar, Noord-Holland

Responsibilities Included:

  • Refined ML pipeline for managing advertisement costs with web traffic/booking forecasting.
  • R&D in unsupervised learning & recommender systems.

Projects

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Bachelor Thesis

An explainable deep learning baseline for iconography research in artworks

Prediction of Atrial Fibrillation

Deep Learning approach to predicting Atrial Fibrillation in patient ECG Data

Contact