Product behavior
Measure whether features change habit, retention, and participation.
I'm a data analyst with a computer science background, focused on turning messy, complex datasets into something actually useful, whether that's a geospatial model for academic researchers, a product metric that changed how a team built their app, or a dashboard that makes a trend visible before it becomes obvious.
available for data rolesMeasure whether features change habit, retention, and participation.
Build and maintain pipelines that move raw data from source to insight reliably.
Condense noisy survey and project data into concise, decision-ready reporting.
Selected work

IBM analytics report / Cognos dashboard
A Stack Overflow Developer Survey analysis that turns technology adoption signals into hiring and learning priorities.

Data Analysis Project
Built an automated reusable ETL pipeline in Pandas to clean and transform a 7,000+ row telecom dataset, handling hidden nulls, type casting, target binarization, and tenure cohort engineering. Built an interactive Power BI dashboard to analyze customer churn trends.

Product analytics / diploma project
A gamified fitness tracking app where workouts become quests and user progress becomes a measurable retention loop.

Geospatial analysis / research tooling
An open-source QGIS plugin that makes deep-learning-based remote sensing workflows more approachable for QGIS users.
Personal telemetry
Yes, I built a dashboard about myself. No, I'm not sorry.
Honestly, pretty impressive for a data analyst.
POLSKA GUROM!!!
Practice notebooks and competition-style problem solving.
A deliberately rounded count for messy CSVs, survey files, and project data.
Turkish, English, and Polish.
Skills and credentials