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  • 👋 Hi, I’m @jonasknappitsch from 🇦🇹 Vienna, living in 🇨🇭 Zurich.
  • 👀 I’m passionate about the intersection of technology, strategy and economics - improving performance outcomes for organisations and shaping the businesses of tomorrow.
  • 🌱 Currently learning data visualization and predictive modelling.
  • 📫 Reach me via knappitsch.j(at)gmail.com

jonas's Projects

computational-face-recognition icon computational-face-recognition

The face_recognition package provides cutting-edge face-recognition functionality, thanks to its usage of dlib, a modern C++ toolkit for machine-learning based image processing and machine vision. This project supports face recognition in order to classify unknown images based on known images. Furthermore, persons can even be identified on a live-video-stream via OpenCV. This can be used in various security or identification scenarios. Known persons can be differentiated from unknown persons, further actions can be based on that.

cses-problemset-java icon cses-problemset-java

The CSES Problem Set is a collection of high quality competitive programming practice problems. This repository contains my solutions (algorithms, etc.) to the CSES Problemset in Java. See challenges here: https://cses.fi/problemset/

docker-compose-laravel-env icon docker-compose-laravel-env

Get a perfectly set-up laravel environment with a docker-composition that includes NGINX, MySQL and PHP by simply cloning this repo.

us-treasury-yield-visualization icon us-treasury-yield-visualization

This python project makes use of matplotlib and numpy to visualize the spread between short and long term US treasury bond rates (yield rates). The resulting spread can indicate upcoming economical recessions. Predictions made based on that so called yield curve inversion has proven its accuracy for 6 out of 7 recessions in the past and is renowned as one of the most accurate recession indicators.

wiki-compressed-knowledge icon wiki-compressed-knowledge

The aim of this project is to compress the most valuable insights from wikipedia articles, in order to ensure a quick and efficient way of knowledge acquisition.

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