Summary
Walter Hoekstra is a data scientist with nine years of hands-on experience building ML-driven customer profiling and personalization systems at scale, currently shaping legally compliant profiles and MLOps best practices at bol.com. He combines a strong academic background in economic and consumer psychology with practical expertise in Python/R, BigQuery, TensorFlow, Airflow, dbt, and cloud-native deployment (GCP, Docker, Kubernetes) to move models from ideation to production. Previously he led analytics and deep-learning projects at Newzoo, working across structured and unstructured data streams and supervising MSc research in NLP and text categorization. Known for mentoring peers and contributing to data science governance, he sits on bol’s Data Science Golden Path Committee to drive reproducible, enterprise-grade ML. An analytical thinker with a psychology lens, he uniquely melds behavioral insight with technical rigor to deliver customer-focused AI solutions.
9 years of coding experience
6 years of employment as a software developer
Master of Science (M.Sc.), Psychologie, Master of Science (M.Sc.), Psychologie at Leiden University
Stedelijk Gymnasium Leiden
Master of Science (MSc), Psychologie, Master of Science (MSc), Psychologie at Economic and Consumer Psychology, University of Leiden
English, Dutch