Simen Bjerkelund
Financial Analyst · Quantitative Researcher · Data Scientist
About Me
I am a financial analyst and quantitative researcher with a background spanning public sector finance management (Bærum Municipality, NOK 2.2bn budget), two master’s degrees in applied finance and intelligence systems, and independent algorithmic trading development.
I build analytics tools primarily in R and Shiny, covering trade performance attribution, ML-driven opportunity scanning, Monte Carlo risk simulation, and automated economic analysis of Norwegian SSB data. I also work with Python and SQL where needed, and I continuously explore how new AI tools can augment data analysis workflows.
The purpose of this site is to explore, learn, and publish my data projects. Publishing them gives the work some skin in the game and helps raise both the quality and volume of output. The projects are driven by my own interests, but also follow news and trending topics.
Featured Projects
Trading Analytics Platform
Comprehensive R Shiny app for trade performance analysis, ML-driven strategy development, and risk optimization. Processes data from Nordnet broker.
SSB Daily Dashboard
Automated daily analysis of Statistics Norway (SSB) data — economic indicators, market trends, and macro signals — refreshed every morning via GitHub Actions.
Opportunity Scanner
ML-powered scanner across major stock indices using adaptive filter indicators, temporal cross-validation, and ensemble predictions.
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