Henrik Hain

Henrik Hain

Senior Data Scientist / Data Engineer

bitExpert AG

I am a senior data scientist and (data|software) engineer at bitExpert AG located in beautiful Mannheim, Germany. My work and research interests include (deep) reinforcement learning, machine learning, software engineering, and natural language processing where I successfully applied my expertise in academic research as well as in real-world business projects in finance, EPC project management, and large online retail.

I have a preference for elegantly designed, efficient and minimal systems and do not like overengineered or oversized solutions.


  • Data science
  • (Deep) reinforcement learning
  • Predictive modeling & machine learning
  • Cognitive systems, anthropomatics, and computer vision
  • (Empirical) software engineering


  • MSc. Computer Science

    Karlsruhe Institute of Technology

  • BSc. Computer Science, 2015

    University of Applied Sciences Mannheim

  • Staatl. gepr. informations- und kommunikationstechnischer Assistent, 2010



Stochastic regression imputation

Stochastic regression imputation can be considered a refinement of regression imputation because it addresses the correlation bias by adding noise from the regression residuals to the missing value estimations. This post discusses the advantages of stochastic regression imputation with examples in Python.


Recent Advancements in Deep Reinforcement Learning

Many deep reinforcement learning methods have been established for the development of autonomous AI-agents. This talk introduces deep reinforcement learning as combination of deep learning and reinforcement learning and highlights a selection of noteworthy advancements since Mnih et al. introduced Deep Q-learning.