Rooftop Analytics bases all deliveries to businesses on recent research studies. Our team consists of the most skilled data scientists on the Danish market with PhDs or Master's degrees in Economics, Econometrics, Statistics, and Data Science. Additionally, we are anchored in IT and have many years of experience running complex IT projects from start to end.
At Rooftop Analytics, you meet deeply passionate employees who collectively manage to think big and set up exciting and challenging what-if scenarios while keeping sight of even the smallest details in the project. We set a team, lead the team in ways that generate the required creativity and quality in the solution, and we deliver according to the agreement.
co-founder & CEO
MSc in Economics
+45 2031 8030
Birgitte Dahl is co-founder of Rooftop Analytics and bridges business, data, and IT. She has 20 years of experience at expert level in project management, delivering and embedding innovative and complex business solutions in Danish and global companies. Birgitte has worked on major transformation projects in e.g. manufacturing companies, including FMCG, chemistry and energy. She therefore has deep knowledge of what it takes to maneuver purposefully in complex projects and has an eye for both professional challenges and potential pitfalls.
Christian Møller Dahl is co-founder and responsible for product and solution development. Christian's core competences lie in statistics and econometrics, including time series analysis, Predictive Analytics, Machine Learning and Big Data. He has many years of experience in analyzing and predicting the behavior of households and businesses based on economic models. Christian also has great expertise in developing methods for predicting prices and price trends. Christian's competences come into play especially when conceptualizing model development for Predictive Analytics.
Sr. Product Developer
Associate Professor in Economics
Giovani Mellace is a Sr. Product Developer at Rooftop Analytics and is responsible for Causality Analysis. Giovanni has many years of experience in applied economics, econometrics, causality analysis, Big Data analytics as well as theoretical and applied statistical analysis. Giovanni's primary expertise lies in causal analysis and ranges from how causal studies should be designed to data collection, estimation, and quantification. Giovanni's skills come into play especially when conceptualizing model development for Predictive Analytics.
Christian Emil Westermann is a PhD student in Econometrics, Big Data and Machine Learning and also teaches graduate students in Machine Learning. At Rooftop Analytics, Christian Emil develops algorithms for Predictive Analytics using the most advanced techniques in Machine Learning. These are used both in data mining, structuring of data, and the development of empirical models. In connection with his PhD, Christian Emil develops algorithms for automatically transcribing handwritten digital documents which are subsequently analyzed.
Simon Friis Wittrock
PhD student in Economics
Simon Friis Wittrock is a PhD student in Econometrics, Big Data and Machine Learning. At Rooftop Analytics, Simon develops algorithms for Predictive Analytics in the Financial sector using statistical analysis of Big Data. In connection with his PhD in Health Economics, Simon investigates causal relationships between clean drinking water and the Danes' immune system. The research is based on the transcription of death certificates from the year 1800 until today.
Torben Skov Dyg Johansen is a PhD student in Econometrics, Big Data and Machine Learning. At Rooftop Analytics, Torben develops algorithms using, among other things, live stream data and deep learning. In connection with his PhD, Torben investigates causal relationships between the introduction of nursing visits for infants and people's health, lifestyle, education, and job situation. The research is based on scanned handwritten nursing records of approx. 93,000 children born in Copenhagen from 1950-1970. Torben, together with Kristian Lindholm Nicolaisen, won the award for best bachelor's thesis at SDU in economics and mathematics-economics in 2017/18 - appointed by Deloitte.
Kristian Lindholm Nicolaisen
PhD student in Economics
Kristian Lindholm Nicolaisen is a PhD student in Health Economics and Data Analytics. At Rooftop Analytics, he develops algorithms using, among other things, neural networks. Kristian focuses on preparation of data and development, training, and testing of algorithms. The algorithms are used in Data Analytics and especially in Predictive Analytics. In connection with his PhD, Kristian investigates inequality in health and aging among middle-aged and elderly European citizens, and how welfare systems influence this inequality. Kristian, together with Torben Skov Dyg Johansen, won the award for best bachelor's thesis at SDU in economics and mathematics-economics in 2017/18 - appointed by Deloitte.
Mikkel Bruun Jensen has a Bachelor's degree in Public Health and a Master's student in Data Science. At Rooftop Analytics, he develops Predictive Analytics algorithms using Machine Learning. His focus is on data preparation, development, training, and testing algorithms. Mikkel has experience with the use of data from Statistics Denmark and development of algorithms for optimal selection in sample selection, most recently at a task for the Danish Working Environment Authority.