Busra Cikla
Busra is an experienced data scientist with passion for analytics at ING’s Risk & Pricing Advanced Analytics Team in Amsterdam. She has designed and developed end-to-end advanced analytics solutions to a business problem in different domains during the last 5 years at ING. Currently, she is working on real-time credit risk models by using ML. Busra has a background on optimisation and operational research from her B.Sc. study and she has M.Sc. degree on Data Science.
Sessions
Did you know that you could do transfer learning on boosted forests too? Even in current days, we face business cases where the modelling sample is very low. This brings an uncertainty to the modelling results and in some cases no ability to model at all. To counter it, we investigated the ability to use transfer learning approaches on boosting models. In this talk, we would like to show the methods used and results from a real case example applied to the credit risk domain.