Sophia Bessler
Economics undergraduate at the University of Surrey, on track for a first, with a Swiss Matura behind me and a persistent interest in the places where financial analysis and applied technology overlap.
This project was a summer holiday exercise. It began because a video about automated trading made a claim I wanted to check, and it ended eleven weeks later with a specification, a screening pipeline, five company studies and a longer list of things I got wrong than I had anticipated. That last part is in section 10 and I would rather you read it than skip it.
Education
Certifications
Machine learning concepts, generative AI and responsible AI use. The responsible-use material is more relevant to section 08 than I expected when I sat it.
Corporate Finance Institute.
Skills
Technical. Python for data pipelines and API work, as shown in section 09. R for regression and statistical analysis. Excel for financial modelling and DCF valuation. Financial statement analysis, which for the purposes of this project meant reading thirty-odd annual reports in chronological order and building the numbers back up from them.
Languages. English, German and Turkish at native level. French, advanced.
Earlier research
A cross-country regression analysis examining the relationship between different forms of immigration and GDP per capita across three countries, drawing on economic theory and demographic datasets, with more than a hundred academic sources reviewed to support and interpret the results.
Awarded a Distinction, placed second in the Swiss Youth Research Programme, and submitted to the Swiss Forum for Migration and Population Studies. Not published here; available on request.