Summary
Myrna Van De Burgwal is an AI-trained data scientist with eight years of experience building and deploying predictive models across healthcare, finance, telco, and environmental domains. She has led data science strategy and infrastructure initiatives—setting up teams and production pipelines (Cloud Pak for Data, Azure, Databricks) and driving model-to-production practices including A/B testing and monitoring. Her recent roles include advising on AI/algorithms at UHT and developing environmental-effects analytics at RIVM, reflecting a strong interest in applying ML to public‑good problems. Comfortable with the full stack of analytics, she combines classical statistical modeling and deep learning (TensorFlow) with practical engineering skills in SQL, Python and R. She also brings product and project discipline via PSPO training and experience translating use cases into measurable business value. Outside core projects she has hands-on experience with sound-classification for wildlife protection and international exposure from studies and travel, which informs her pragmatic, impact-focused approach.
8 years of coding experience
10 years of employment as a software developer
Projectmatig creëren, Projectmatig creëren at Hart voor projecten
Computer science, Computer science at University of Adelaide
Bewust en bevlogen werken voor het RIVM, Bewust en bevlogen werken voor het RIVM at Mindful rijk
Professional Scrum Product Owner, Professional Scrum Product Owner at Scrum
Certified Data Science Professional, Certified Data Science Professional at DIKW Academy
Communication for Excellence, Communication for Excellence at How Company
Master's degree Technical Artificial Intelligence, Master's degree Technical Artificial Intelligence at Utrecht University