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:
