Finnish Economist and Data Scientist based in Switzerland

As an economist with expertise in computational methods and the quantitative analysis of large-scale social media event data, I design scalable, data-driven, and user-facing data products that drive insights for strategic decision-making. I am a former Facebook Global Operations specialist and currently work as a technology consultant for multiple B2B SaaS startups and as a lecturer in data analytics and programming at a leading Finnish business school. Additionally, I am a quantitative Ph.D. researcher at the University of Helsinki, and a visiting researcher at the University of Zurich's Social Computing Group, working at the intersection of deep learning and machine learning, behavioral science, economic theory, and social media research (click here for a list of publications). 

My technical skills includes big data engineering with SQL, building machine learning applications in PyTorch and Scikit-Learn, software development in Python, and statistical analysis in R across multiple industries and academia. Over the past six years, I have worked in research and technology roles across five countries - Finland, Denmark, Ireland, the United States, and Switzerland. I speak Finnish, Swedish, English and German, and some French and Russian.

Academic qualifications

• Ph.D. candidate in social data science, University of Helsinki (2022-present), with expertise in deep learning, statistical analysis and behavioral theory applied to empirical and methods-based social media research. In 2024-2026 I was a visiting researcher at University of Zurich.

• B.Sc. and M.Sc. in Economics, Hanken School of Economics (graduated 2019), with expertise in econometrics and causal inference of time series analysis of credit expansion and housing prices in Nordic real estate markets. Before graduating, I did my ERASMUS exchange at Copenhagen Business School and I worked as a visiting scholar at Johns Hopkins SAIS, Foreign Policy Institute, in Washington, D.C.

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