M.Sc. Business Analytics, with an analytical and quantitative background in business, economics, statistics, and programming.
Education
University of Inland Norway, Lillehammer · MSc Business Administration — major in Business Analytics (siviløkonom) Aug 2024 – Jun 2026
University of Inland Norway, Rena · One-Year Programme in Business Economics Aug 2022 – Jun 2023
University of Inland Norway, Rena · Bachelor in Music Business Management Aug 2019 – Jun 2022
Experience
University of Inland Norway, Evenstad · Teaching Assistant — Resource and Environmental Economics Aug 2023 – Jan 2024
- Independently provided weekly guidance and graded approximately 30 assignments in microeconomics and resource economics.
- Delivered detailed academic explanations that strengthened students’ understanding of course material.
Projects
A Comparison of Fundamental and Statistical Risk Factor Models · Master’s Thesis 2026
Developed, compared, and evaluated a fundamental multi-factor risk model and a statistical factor model for portfolio risk prediction in the Norwegian equity market against a naive benchmark, on high-dimensional unbalanced panel data and firm characteristics constructed from accounting data, market data, and external sources.
- Designed and implemented an ETL pipeline, with point-in-time adjustment of key ratios and currency conversion, for approximately 400 Norwegian equities, including delisted companies to mitigate survivorship bias.
- Large-scale model estimation using iterated Weighted Least Squares on 1707 daily cross-sections.
- Performed walk-forward out-of-sample evaluation via predicted global minimum-variance portfolios and Diebold–Mariano testing of loss differentials.
Black–Scholes Option Pricing Using Monte Carlo Methods · Personal Project 2025
- Implemented Black–Scholes pricing of European options via Monte Carlo simulation in Python.
- Verified and investigated convergence to the closed-form solution empirically; standard error decreases with an increasing number of simulations, consistent with the law of large numbers.
Beta Compression as a Market Indicator · Semester Project 2025
- Investigated beta compression as a leading indicator of market crashes (Russell 3000, 1990–2025) using logistic regression and the Wald test in R.
- Critical analysis of look-ahead bias and p-value inflation; limitations documented in the paper.
Skills
Technical: Python (Pandas, NumPy, SciPy, Statsmodels, Matplotlib, Plotly), R (dplyr, forecast, ggplot2, pcaMethods), SQL (MySQL), Excel, LaTeX
Languages: Norwegian (native), English (fluent)
Activities and interests
Mathematics and statistics · Music production · Strength training
For a detailed breakdown of what each course covered and the competencies it builds, see the Extended CV.