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Picture of David Ribberholt Ipsen

David Ribberholt Ipsen

Role & Responsibilities @ Reel

As Machine Learning Engineer I develop and nurture our forecasting models, enabling us to accurately balance supply and demand of our customers’ electricity.

Educational background

  • MSc Mathematical Modelling and Computation, Techinal University of Denmark (DTU), with a strong focus in Advanced Time Series Analysis and Machine Learning.
  • BSc Data Science and Management, Techinal University of Denmark (DTU)
  • Semester abroad at University of Queensland, Australia.

Previous experience

Forecasting wind energy and solar energy production of major farms around the world as Data Scientist at ENFOR. Also forecasting energy consumption for a major European electricity provider.

⚡️ Why Reel

I am passionate about developing forecasting and optimization models for the renewable energy sector. And if we can have fun doing so, it would be even better. Reel is the perfect place for that.

About Reel

Reel is creating a new way of buying electricity to accelerate the renewable energy transition. We are on a mission to empower companies to make a positive difference for climate through the electricity they buy. Reel enables all companies to enter a new type of electricity contract (Power Purchase Agreement) that reduces CO₂ emissions by adding new renewable electricity to the grid.

Founded in 2020