Quick overview of my professional career and achievements.
To keep the process of learning about data science and machine learning I develop several personal projects.
Simple statistical inference project about car fuel consumption and emisions developed during the CAS in Applied Data Science at the University of Bern. Get in touch for more info.
Custom neural network model using Tensorflow including CNN, RNN with LSTM and a CTC decoder used for transcribing middle ages manuscripts words.
In order to evaluate how time series can be predicted using Machine Learning I have created a simple webapp where I can train different neural networks with stock market data, make predictions and assess the performance of the models.
Feel free to write to get more information or if you are interested to contact me.