We have most experience in predictive modelling. We carried out our biggest projects so far in this particular field. They involved:
- Customer attrition modelling (Churn) - finance industry (data volume (around several millions observations) - ongoing project (since second quarter of 2017)
- Default probability for Structural Credit Risk - finance industry (around several millions observations) - this project took place in the first half of 2017
- Bookmaker risk analysis (around several millions observations) - second half of 2017
During these projects, we applied different algorithms, such as: random forests, neural networks, logistic regression, Stochastic Gradient Boosting and Support Vector Machines, among others.