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Kai-Ref/README.md

hey there

I am a highly motivated Data Science student at University Mannheim with practical experiences in developing modelling pipelines and real-time forecasts. During my internship at ICIS, I worked on developing an OTC Backtesting statistic for the company website and created and maintained multiple classification algorithms for European power markets. Following this, I then successfully developed and analyzed a DeepAR pipeline in an Infectious Disease Forecasting environment as a Student Research Assistant at the Karlsruher Institute of Technology. Some of my projects were about:

  • 🦠: Probabilistic Time Series Forecasting utilizing Amazon's DeepAR model in an Infectious Disease Forecasting environment (Repository: DeepAR_InfluenzaForecast)

  • ⚡: Binary Classification pipeline with the sklearn framework for an EU Power market price equality forecast

  • ⚽: Webscraping Transfermarkt.com for football player and team data (Repository: Transfermarkt Webscraping)

  • 📈: Analysis of the Feature Selection properties of LASSO and Ridge regression during a Bachelor's seminar (Repository: Feature Selection in Regression Tasks)

  • 📫How to reach me: Linkedin Badge


🛠️ Languages and Tools :

Java  MySQL 

Top Langs

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  1. DeepAR_InfluenzaForecast DeepAR_InfluenzaForecast Public

    DeepAR implementation for seasonal influenza cases in German districts

    Jupyter Notebook 1

  2. footy footy Public

    Working with data from transfermarkt.de

    Python