At Qampo I work with the implementation of mathematical models to help support decision making in all its different forms. This means helping our clients identify process, planning tasks and alike than can be automated and/or optimized. We help building a business case by estimating the potential savings/gains by a proof-of-concept model which in turn provides a roadmap for the IT solution we can provide to the customer.We bring hardcore operational research methods, machine learning and statistics into useful business insight that will help your business, that is decision scienceI have transitioned from solely developing optimization algorithms for the public transportation sector (optimizing routes for electric buses, etc.) to a go-to-guy with a broad knowledge of all our products, technologies and algorithms, machine learning and AI.- Help guide the development of our algorithms to ensure scalability, customer satisfaction and maintainability- Map the vision of new software products into chunks of work with backend/frontend services, integrations and algorithms- Stay up to date with the latest and greatest of software solutions, solvers and research within the Decision Science space and the hardware to support this

I have been involved in projects such as: - A real-time automation and optimization solution at CPH Airport that allocates baggage to the arrival belts. - Algorithms for scheduling vehicles and drivers for numerous public transport companies throughout Europe as well as deploying,monitoring and maintaining these solutions.- Machine learning algorithms for churn prediction at several publishing companies.I have worked with a plethora of technologies and environments including:- Python including numerous data science/ML libraries- Java; implementing efficient optimization algorithms (mathematical mixed-integer programming both exact and as metaheuristics) and exposing them in a REST api- Git/docker/jenkins/CI/CD

Member of the panel for Employeers (Aftagerpanel) for Mathematics, Statistics, Data Science and Mathematics-Economics. The panel helps guide the Department to educate students with relevant skills and employability.