Hands-on roles for 10+ years in start-ups and corporates include people/product/program leadership, consulting, innovation execution, site engineering, and data analytics.
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4+ years of experience working with machine learning/deep learning in Silicon Vally for both large and small companies. Main focus has been on reducing the time that it takes to bring the best machine learning models into production.
Background in physics, nanotechnology, and computational science, a leader in advanced analytics working for global consumer brands, former consultant and project manager McKinsey.
5+ years of experience from the Wind Energy industry – has been a part of developing some of the most advanced algorithms in yield assessment of wind farms and applying them onto our assets, using data analysis, mathematical modelling.
7+ Years of experience with machine learning, data science, and statistics. Previous experience ranging from consultancy to startups. Currently leading a team of Data Scientists delivering medical decision support systems.
20 years of experience in the field of Shipping and Naval Architecture in both larger companies, now in a smaller company as Co-Founder and Director. Focusing on the development of mathematical models within Ship Operation and performance.
Worked as a data scientist in KMD and (currently) Ørsted with such tasks as machine learning, data visualization, general software development, and other related data science tasks.
Experienced Product Manager with a demonstrated history of taking Machine Learning projects from idea stage over prototype and customer validation to production. Solid experience in working with global cross-functional teams (research, engineering, marketing, sales).
Former researcher in theoretical physics, now working with modelling within the financial sector. 7+ years of experience with modelling many different aspects of algorithmic trading, price production and risk management.
