Consultant, Analytics & Optimization
Laura is a data geek and passionate about building systems and models that are sustainable and sensible, finding patterns in data and turning numbers into insights. Her latest field of interest and work includes machine learning, deep learning, data mining and turning all these into actionable products.
Laura is also an experienced Python and R model builder, and she is comfortable visualizing data and insights both on a dashboard or a PowerPoint slide. And she is used to working with datas of various kinds: from web analytics to financial, accounting, customer and demographic datasets.
As a person, Laura is sociable and thrives in an energetic and progressive environment. You can always count on her honest feedback and creative approach.
Laura studies Economics and Mathematics at University of Copenhagen and has a background in finance, mathematics and data science and has previously – among others – worked at Morgan Stanley.