About
I spent 10+ years in enterprise IT — at Accenture, Škoda Auto, CETIN, and others — working on SAP environments where data quality and system reliability were business-critical. That work taught me how to operate inside complex technical environments, where precision matters and things break in ways that affect real people.
My interest in financial markets is what pulled me fully into data and AI. I wanted to build systems that analyse and predict — not just maintain. After completing Data Science Bootcamp at Coding Bootcamp Praha, I built real projects: an ML classification model to target banking clients, deployed as a live Streamlit dashboard, and two event-driven trading bots in Python connected to the Interactive Brokers API. I write about my work on Medium, because explaining what you've built is as important as building it.
I'm open to roles across data analytics, data science, and applied AI — wherever analytical thinking and an understanding of how real organisations use data can make a difference. My background bridges the technical and the operational, and I'm looking for work where that combination is genuinely useful.