Background

As the Chief Data Scientist and VP at Ønskeskyen, I spearhead the organization’s data and AI strategy, fostering innovation and driving adoption across all departments. With a robust background from VELUX, where I led data science and AI for smart home technologies, and extensive experience at GRUNDFOS in machine learning and AI solutions for industrial applications, my expertise spans data architecture, generative AI, and IoT systems. I am passionate about leveraging data to solve critical business problems and unlock new opportunities.

Motivation

Currently, as the Chief Data Scientist and VP at Ønskeskyen, I drive the organization’s data and AI strategy, fostering innovation and cross-functional collaboration. My role involves not only strategic oversight but also hands-on leadership in developing our data and AI talent pool. I am passionate about guiding teams to leverage data-driven insights and advanced AI techniques to solve critical business challenges and unlock new opportunities. Previously, as the Lead Specialist in Data Science at VELUX, I spearheaded the development of smart home technologies, integrating AI solutions to enhance living environments. My experience at VELUX involved leading agile data engineering, AI architecture, and DevOps capabilities, with a focus on generative AI and IoT systems. This role required me to build scalable data foundations, develop data governance frameworks, and innovate with algorithms for smart appliances, all while fostering a collaborative and innovative team culture. My tenure at GRUNDFOS further solidified my expertise, where I applied advanced machine learning, deep learning, and reinforcement learning techniques to solve industrial problems across sales, marketing, supply chain, and intelligent water solutions. This role allowed me to dive deep into business intelligence, recommendation systems, and demand forecasting, providing me with a comprehensive understanding of the practical applications of AI in various business domains. Throughout my career, I have been driven by a commitment to continuous learning and sharing knowledge. I believe that mentoring is a powerful way to inspire and develop the next generation of data scientists. My goal as a mentor would be to provide strategic guidance, share practical insights, and cultivate a growth mindset among mentees, empowering them to tackle complex problems with confidence and creativity.

Skills, expertise, and interests

• data science
• machine learning
• deep learning
• artificial intelligence
• statistical and data modelling
• MLOps
• career planning or change
• big data
• data visualisation
• problem solving
• statistics and mathematics
• time series analysis
• computer vision
• cloud computing
• project management
• leadership
• work-life balance
• business innovation
• economics, finance, and business
• strategy
• DevOps
• end-to-end implementation