Daniel Wlazło

Blaise Pascal, a French mathematician, physicist, philosopher and theologian, once said that "Chance favors only the prepared mind". This quote is extremely important to me - it shows my point of view on education and self-improvement. I am currently working and improving in three complementary areas: credit risk analysis, machine learning and robotics. In the area of ​​credit risk, in my current position, I create scoring models for products for individual customers - including PD modeling (the probability that a loan will default). In addition, I'm interested in the use of advanced algorithms and IRB models. I very interested in data analysis and machine learning (in Python). Especially gradient boosting methods (xgboost, catboost) and deep neural networks (with the PyTorch and Tensorflow packages) are objects of my interest. Therefore, I started post-graduate studies related to this field. A very good test field for artificial intelligence algorithms is their use in robotics. Robotics was my starting point (I graduated in robotics). Currently, this is only my hobby, but I still build new projects, mostly to test machine learning algorithms in practice. Skills / interests: Python (pandas, numpy, scikit-learn), Deep Learning (Pytorch, Tensorflow), Gradient Boosting (xgboost, catboost), Credit Risk (PD, LGD, CCF, EL), Robotics, UAV AWS Certified Machine Learning