Mirjam Cuper is a data scientist with eight years of experience applying analytics and data-driven solutions across healthcare and national institutions, currently working at the Koninklijke Bibliotheek. She combines a strong background in business analysis and planning & control from roles at Erasmus MC with consultancy experience at KPN to translate complex questions into actionable models and dashboards. Mirjam is deepening her expertise in machine learning and predictive analytics, actively participating in Kaggle to learn from peers and sharpen competition-ready skills. Her academic path spans cognitive AI, data science management, and education, giving her a rare mix of technical rigor and communication skills for stakeholder-driven projects. Known for turning vague organisational questions into concrete analytics products, she also brings practical project leadership from system migrations and database stewardship. Based in the Randstad, she thrives on new challenges that bridge research, process understanding, and applied machine learning.
8 years of coding experience
Cognitieve kunstmatige intelligentie, Cognitieve kunstmatige intelligentie at Universiteit Utrecht
Grafimedia Technologie, Grafimedia Technologie at Hogeschool Rotterdam
premaster Methoden en Technieken van Onderzoek, Informatica/management, premaster Methoden en Technieken van Onderzoek, Informatica/management at Open Universiteit
HAVO, HAVO at Erasmus College Zoetermeer
Bachelor of Education (B.Ed.), Lerarenopleiding Basisonderwijs (PABO) / Opleiding tot leraar basisonderwijs, Bachelor of Education (B.Ed.), Lerarenopleiding Basisonderwijs (PABO) / Opleiding tot leraar basisonderwijs at Hogeschool INHOLLAND
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