In this article I will show how I built a webapp to visualize the change in average temperatures in Austria. I used data from the Geoshpere Austria Api and built the app using fastapi, duckdb and Google Cloud Run. I will discuss the steps I took to build the app, the challenges I faced and how I solved them.
About me
I am a Data Scientist with 4 years of experience in the energy, consulting and research sectors. My focus is on building end-to-end data science and engineering solutions to deliver business value to stakeholders and customers.
I am also active with personal projects that especially focus on combining my interest for data and sports, especially in running and cycling.
I started this website recently to have a place to write and blog about topics that I am interested in. You can expect different content about data topics, physics & maths or a combination of both.
From my blog
How to build and publish a Python Package to PyPI with uv & GitHub actions
Github account
April 19, 2025
In this post we will show how to build, release and publish a python package to PyPI using GitHub actions.
Gradient descent & advanced gradient methods
March 30, 2025
In this article we will dive into the specifics of gradient descent and also learn its limitations. We will also cover advanced gradient descent methods like Adam optimizer or Nesterov momentum that improve on these limitations.