Helena Nicolaisen

Helena Nicolaisen is a Data Scientist at ATP, specializing in the development of machine learning models for detecting welfare fraud, with experience across the entire model lifecycle. Previously, at PFA, Helena was a Data Student, providing business intelligence reports and data analysis while gaining strong SQL proficiency. Helena's background also includes roles as an Undergraduate Research Assistant at Medtronic, where chemical experiments were planned and data visualizations created, and as an Assistant Laboratory Technician at Agilent Technologies, assisting in a biochemical laboratory. Helena began a career in education as a Tutor at Super-Matematik, focusing on mathematics for students, and gained technical support experience at Hiper A/S. Helena holds a Master of Engineering in Mathematical Modelling and Computation and a Bachelor of Engineering in Chemistry and Technology, both from the Technical University of Denmark.