About MindGraph

MindGraph started in 2024 as a part-time endeavour, a place to collect various projects I've worked on in the past and to explore the possibilities of partnering with other companies and individuals who are interested in leveraging data to better understand the landscape around them or inform their decisions. Read more about the mission and vision of MindGraph below, or explore the services I offer by clicking the button:


An open landscape symbolising the potential of being more data-driven

MindGraph's mission 🎯

My mission is to contribute to a better world by facilitating a deeper understanding of the patterns and phenomena that shape our reality. I am committed to providing decision-makers with practical recommendations based on a solid data foundation. By harnessing my curiosity, dedication, and perseverance, I tackle real-world data challenges, extract meaningful insights, and communicate them in a user-friendly, accessible manner.

Person using machines to derive knowledge

MindGraph's vision 🌱

I envision a future where data-driven insights empower decision-makers at all levels, fostering informed choices that lead to a better, more equitable world. To arrive there, I believe we need to reshape the way working with data and analytics is perceived, transforming it from a complex, challenging endeavour into something more relatable and accessible for the average human being. Data-driven insights can help us change the world for the better - provided that we are all on board with the story the data is trying to tell us.

People understanding insights thanks to data

The person behind MindGraph 🤖

I see myself as an economist by training and a data nerd by calling. My journey started back at Aarhus University, where I got a Master's degree in International Economic Consulting. Following my graduation, I've worked in both the public and the private sectors, where, I've been responsible for both data collection, transformation and analysis for over 5 years. I've been a part of creating statistical and ML models to generate predictions and explain key relationships in the data, mostly through the use of R, Python, Power BI and Excel. I enjoy the nerdy, back-end aspects of this process as much as the opportunity to engage with people so I can present and discuss the implications of my findings.

I'm motivated when I have the opportunity to contribute to something bigger and when I can see that others are benefiting from the fruits of my labour. I'm a huge supporter of a more data-driven approach both when it comes to our organizations, our society and ourselves as individuals.

Kiril, the person behind MindGraph