Denmark
Chief Data Scientist & Analytics Officer
Financial Services
Education
Stanford University 2015 — 2015
Machine Learning by Andrew Ng, Computer Science Dept. Stanford University (through Coursera Inc.), Large Scale Machine Learning, Recommender Systems, MapReduce, Anomaly Detections, SVM, Neural Netw.
Massachusetts Institute of Technology 2014 — 2014
School of Engineering Prof. Education at Computer Science and Artificial Intelligence, BIG DATA, Tackling the Challanges of Big Data: systems, algorithms, complex analysis, visualization, strategy
Harvard Business School 2013 — 2013
Lectured by: Prof. Tom H. Davenport. Executive Educ. Competing on Business Analytics and BIG DATA, Big Data Analytics
Massachusetts Institute of Technology 2004 — 2005
Vis. PhD: School of Engineering, Mathematical Choice Modelling, Micro-econometrics, Experimenthal Design, Discrete Choice Analysis, Visiting PhD
Copenhagen Business School 2002 — 2005
Doctor of Philosophy (Ph.D.), Micro-econometric Analysis of M&As (one academic year hosted at MIT, School of Engineering), PhD
Aarhus Universitet 2000 — 2002
Master of Science (M.Sc.), Finance And International Business (Handelshøjskolen i Århus/ The Århus Scholl of Business)
Experience
Saxo Bank December 2013 - Present
Massachusetts Institute of Technology (MIT) 2005 - Present
Oticon A/S 2011 - Present
Copenhagen Business School 2012 - Present
Choice Science ApS (www.choice-science.com) 2011 - Present
Decisionlab 2009 - 2011
UTS: University of Technology, Sydney 2008 - 2011
Kunde & Co 2005 - 2009
Disneyland Paris 1993 - 1998
Skills
Econometrics, Strategy, Product Testing, Analytics, Conjoint Analysis, Computer Science, Build Data Science Teams, Statistical Modeling, Marketing Strategy, Machine Learning, Financial Analysis, Financial Modeling, Design of Experiments, Digital Finance, Data Science, Data Visualization, Digital Marketing, Big Data