Quantitative Solutions for Power Trading

Data-Driven Solutions for a Sustainable Future

Congratulations! You found someone who is passionate about data science and is keen on building high-quality products that promote sustainability and eco-friendly innovation.

In 2013, after nearly a decade in academia as a mathematician*, I transitioned to a role as a quantitative analyst in physical trading. I independently conducted data analysis, developed data processing software, and implemented strategic automation. My initiatives dramatically improved the workflow of my teammates, transforming routines that previously took hours of manual labor into tasks accomplished with just a click of a button.

In 2015 I founded QuantPower AB and transitioned to working business-to-business. As the Founder and Product Developer at QuantPower, my journey has spanned from assembling servers in our data center to diving into hardcore high-performance C++ programming, data science, and mathematical modeling, all the way to building intuitive frontends and developing innovative products and services in the domain of power trading and clean energy systems. At QuantPower, we pride ourselves on in-house, end-to-end development, ensuring full control over every aspect of our products.

We are seeking partnerships that value top-tier performance, dedication, and transformative solutions. If you are open to collaborating with a company committed to taking challenging projects and delivering results that stand out – get in touch, and we will be happy to discuss how we can elevate your projects to the next level.

P.S. In securing our services, you also help a small, efficient, and passionate business grow.

* I did a PhD in mathematical statistics at Chalmers University of Technology, Sweden, 2006-2011. My specialization was Extreme Value Theory - a branch of probability theory and mathematical statistics that studies rare but usually highly consequential events - the so called "black swans". My PhD thesis focused on developing methods for statistical analysis of large datasets (typically derived from biological experiments or clinical trials) and helped me cultivate a foundational understanding of the unique challenges that arise in big data analytics. I continued in academia as a PostDoc for two more years, analyzing large-scale driving data to improve transportation safety and sustainability, before transitioning to industry. I continue to publish scientific papers occasionally, see the list of publications for more details.