Christian Klaus
Data Engineer @Bundesanstalt für Materialforschung und -prüfung
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WORK HISTORY
Data Engineer @Bundesanstalt für Materialforschung und -prüfung
Berlin, DE
My team is part of a 2-year project implementing a H2 refueling station to gain insights and deliver proof-of-concepts for the topic digital quality infrastruture. I am responsible for setting up the IT and virtualization infrastructure to process sensory (time-series) data and meta data. The data has to be integrated into appropriate data bases living in the cloud and a digital twin will be developed.
EDUCATION
Technische Universität Berlin
Bachelor of Science - BS, Mechanical Engineering
Technische Universität Berlin
Master of Science - MS, Physical Engineering
Le Wagon
Certificate, Data Science Bootcamp
ABOUT CHRISTIAN KLAUS
Finished an intense Data Science Bootcamp (at Le Wagon) where I learned (by doing): Python, Pandas, Jupyter Notebooks, Machine Learning (scikit-learn), Deep Learning (Tensorflow Keras), Data Engineering, Data Sourcing (Scraping and APIs) and Data Analysis and Visualization. Topics where not only applied but also supported by a strong theoretical fundament covering Algebra & Calculus, Statistics & Probabilities and much more! There was a strong focus on collaboration.Now it\'s the time to dive deeper into some of the topics and apply my favorite ones in small projects. Currently discovering the amazing fastAI library to tackle computer vision problems. Also checking out the PyTorch framework for Deep Learning.What I like most about the field of Data Science is that there are so many opportunities to learn!
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