Summary
Árpád Knap is a researcher and data-savvy social scientist with a PhD in Interdisciplinary Social Research and eight years of experience blending computational methods with sociological inquiry. He specializes in social listening and public discourse analysis, leveraging NLP, survey statistics, and robust data engineering to turn messy social data into actionable insights. Comfortable across the stack, he pairs academic rigor with practical skills in web development, visualization, and business analytics gained in international consulting and software roles. He has taught Python and quantitative methods at the university level and contributed to computational social science projects at ELTE’s RC2S2, signaling a habit of moving ideas from theory into reproducible code and tools.
8 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD, Interdisciplinary Social Research, Summa cum laude, Doctor of Philosophy - PhD, Interdisciplinary Social Research, Summa cum laude at Eötvös Loránd University
English, Hungarian