About Me
I am an Master's student in Applied Computer Science at Wrocław University of Science and Technology, with a strong focus on data analysis and data exploration with nearly 2 years of experience working at Robert Bosch GmbH, as a Intern Analytical Support.
I specialize in providing analysis for frontline teams like developers, product support lines and management. My daily work is entire ETL process from extracting data, through operational analysis and data engineering, to building ML classification models and reporting in Power BI.
My analytical focus is driven by a fascination with economic systems and their financial and social impact. This year I plan to start further studies in the field of business and economics.
Currently looking for opportunities in data-focused roles, specifically as a Data Analyst or Data Scientist!
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.