About Me
I am a Master's student in Applied Computer Science at Wrocław University of Science and Technology, with a strong focus on data analysis and data exploration. I have experience working in an international corporate environment as student analytical support. I am actively looking for opportunities to grow as a Data Analyst, particularly in roles that involve working multi-path datasets, deriving insights, and communicating results through clear visualizations.
I am also the project leader of Polska 2000 – an independent research initiative focused on qualitative studies of the young generation in Poland. The project explores identity shifts, generational values, and social perspectives through a data-informed and narrative-driven approach.
I value dynamic, growth-oriented environments and am committed to continuous learning and collaboration.
A mobile game clone built in Python as an AI sandbox. This project explores and compares different Artificial Intelligence approaches: from pure math and Machine Learning, up to advanced Reinforcement Learning.
Exploratory data analysis of the “Product Sales” dataset, created as part of the DataCamp Data Analyst certification project to identify key sales drivers and customer behavior patterns in Jupyter Notebooks.
Unsupervised learning project clustering countries based on socio-economic indicators using PCA and clustering ML algorithms. The goal was to identify development patterns and similarities between countries. Created with Python DA-DB and Power BI.