Data Science

With our Data Science team we combine the individual strengths of our scientists while keeping a single point of contact for the client. It enables us to include smaller projects, produce higher quality models and deliver faster.

With Big data comes a whole new set of analytical opportunities. Statistical analysis become more reliable due to the increasing number of records and their larger set of characteristics. With the correct infrastructure for collecting and processing data and powerful computing platforms, our data scientists can build and implement real-time predictive models, recommendation engines, behavior analysis and machine learning.

All our data scientists have a very strong and extensive mathematical and computer science background. Their domain knowledge is diverse and covers areas such as IoT (internet of things), gaming, e-commerce, online advertising and fraud detection. Despite all our experience, specific domain and data knowledge will always be required. We therefor work very closely with analysts and domain experts from our clients, especially in the start of the project.

  • Predictive modelling
  • Stream Computing
  • Recommendation engine
  • Behavior analysis
  • Simulations
  • Visualization
  • Machine Learning
R
python
scikit
rapidminer