About
Building systems that turn data into decisions
I build data pipelines, ML models, and analytical tools that help people make better decisions with complex information. Based in Prague, I am a first-year Applied Informatics student at the Prague University of Economics and Business.
My focus is on technical rigor and steady improvement, reinforced by projects and experiences like the EY Data Challenge. I am still early in my career, but I care about understanding the fundamentals, testing my assumptions, and building work I can stand behind. I am confident across data analysis, machine learning, and full-stack analytics. I learn quickly and care about doing the work properly.
I am joining JetBrains as a Finance BI Analyst Intern for Summer 2026. If you're working on something data-heavy and want someone who can build the whole thing, let's talk.
Execution Framework
Before writing any code, I try to be clear on what we’re actually solving and why it matters.
Source, clean, and structure before touching any model. Garbage in, garbage out is still true.
Validate early, question assumptions, and don’t declare victory until the numbers hold up under pressure.
A result that’s clear, reproducible, and actionable — not just technically correct.
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