Summary
Trudy Buwalda is a data analyst with 11 years of experience blending cognitive neuroscience and applied machine learning to solve business problems across public and private sectors. With a PhD-level research background in modelling EEG, eye movements and learning processes, she translates complex behavioral insights into production-ready data pipelines and analytical tools. At Aegon she combined data engineering (S3, Redshift, Glue), statistical modelling in R/Python, and interactive reporting (R Shiny, PowerBI), and now applies that mix to municipal datasets at Gemeente Groningen. Comfortable bridging research, teaching and engineering, she has a track record of building cognitive-model tooling and mentoring students while shipping pragmatic ML solutions. Notably, her work sits at the intersection of cognitive modeling and scalable data practice—making human-centered insights operational.
10 years of coding experience
5 years of employment as a software developer
MSc, Behavioural and Cognitive Neurosciences, GPA 4.0/4.0 - Cum Laude, MSc, Behavioural and Cognitive Neurosciences, GPA 4.0/4.0 - Cum Laude at University of Groningen
English, Dutch