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Daniel Springmann

Data Scientist

 

Germany

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LinkedIn

Kaggle

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.

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