Daniel Springmann
Data Scientist
Germany
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Favorite apps
R, Tidyverse, Torch, TensorFlow, Keras, LightGBM, GAMs
Hardware & Software
Areas of specialty
Denoising Autoencoders, Tabular Data, NLP, Data Visualization
Daniel is a data scientist at Havas Media Germany located in Frankfurt. After a bachelor's degree in computer science and a master's degree in business informatics, the transition to Data Science was not that far. Since then, Daniel has been an active member on platforms like Kaggle or Numerai. When he’s not coding, you’ll most likely find him running or pondering about machine learning.
As a Z by HP Global Data Science Ambassador, Daniel's content is sponsored and he was provided with HP products.
“With great power comes great responsibility”
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