About me

Hello. Behavioral scientist and applied researcher working at inDrive’s Marketplace Efficiency Cluster. Previously at UCL Department of Economics, Max Planck Institute, and HSE University.

Interested in experiments (as example see the thesis), causal inference (see lib description below), and marketplace optimization.

You might be interested in our python version of R package for computing asymmetric Shapley values to assess causality in any trained machine learning model, with working example of using here.