Data Science & Visualizations
Get novel insights out of your data through the application of machine learning and satistical methods, such as k-means, naive bayes, community detection, regression, outlier detection, etc.
Ad-hoc visualizations give an instant grasp on your data and expedite the application of data science methods on top of it. Mature interactive & navigatable graphs provide you with an intuitive way to explore and dive deep into your data.
Awake your application with a heartbeat: make it real-time, resilient and dynamic for the future. Event-driven architectures consist of modular building blocks and leverage the user experience.
Monitor any accessible source for relevant changes, be it internally or somewhere remotely in the internet. Design your application to be real-time where it suits you best. Empower any visualization with dynamic aspects to get an intuitive look and feel, along with instant informations.
The above example graph is a real-time visualization of a Twitter live-stream:
MSc Computer Science