Viggo Wivestad is a researcher and data scientist with nine years of experience applying cybernetics and machine learning to industrial and public-sector problems from Trondheim. He has led analytic efforts at Equinor building automated reporting and forecasting pipelines for gas markets, advised trading desks on data-driven decision-making, and developed interactive visualization tools using Python, AzureML, Dash/Streamlit and PowerBI. Viggo has also tackled fairness and stability analysis for property-value prediction in municipal projects and moved between consultancy and research roles to translate academic methods into production-ready solutions. Now at SINTEF Digital he combines applied research with close industry collaboration to drive digital process innovation. An early background in control engineering and media production gives him a practical, cross-disciplinary approach to communicating complex models to stakeholders.
9 years of coding experience
1 year of employment as a software developer
Utveksling, Elektroingeniør, Utveksling, Elektroingeniør at San Francisco State University
Norges teknisk-naturvitenskapelige universitet
Årsstudium, Mediefag, Årsstudium, Mediefag at Universitetet i Agder (UiA)
Bachelor's degree, Elektroingeniør, Bachelor's degree, Elektroingeniør at Høgskolen i Oslo og Akershus
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