Here you can find all of my projects, usually in the form of a blog post. For the source codes, see my Github repository. Note that the plots are typically not optimized for small screens.
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Life expectancy and GDP (03.09.2026)
Recreating the famous gapminder-style bubble graph and more. All graphs are interactive.
Main tools: Python (Pandas, Plotly) -
Hot weather in Milan (26.06.2026)
An analysis of the recent high temperatures in Milan in the context of historical data.
Main tools: Python (Pandas, Seaborn), interactive version made with Streamlit -
Kaya decomposition (15.06.2026)
This is an applet that creates a Kaya decomposition of CO2 emissions for a selected country.
Main tools: Python (Pandas, Matplotlib), Streamlit -
US medical insurance (02.06.2026)
This project is a part of the Codecademy career path Data Scientist: Analytics. The goal is to explore a dataset about US medical insurance and try to identify what influences the costs for the customers. It is created in Jupyter notebook.
Main tools: Python (Pandas, Seaborn)
