We describe an extensible data science platform based on non-parametric statistical methods such as nearest neighbors. This platform was borne out of the need for us to provide scalable and flexible predictive analytics solutions for retailers and the federal government. In this talk, I will describe the formalism associated with the platform, discuss its performance on benchmark datasets out-of-the-box and show a live demo for building a recommendation system and for detecting geo-spatial anomalies in maritime domain.