  Credit Scores are ubiquitous and instrumental for loan providers and
regulators. In this paper we showcase how micro-loan credit system can be
developed in real setting. We show what challenges arise and discuss solutions.
Particularly, we are concerned about model interpretability and data quality.
In the final section, we introduce semi-supervised algorithm that aids model
development and evaluate its performance
