Rasool Taban Email & Phone Number

Lisbon, Portugal

Belgrade, Serbia

During my second stay in #CIF, the challenges of the Risk rating system have been explored. For the task of estimating the Probability of Default (PD) and Credit Scoring, the high imbalance ratio for the banking datasets is an intrinsic characteristic due to the rare number of defaulters. Here, the Balancing Techniques (BT) suffer from mixed-type variables.

Milan, Lombardy, Italy

For the second time I joind the #SDG group, in order to collaborate and implement the scientific solutions to the challenges of real-world imbalanced data problems in different projects. Here, I have delivered my novel robust over-sampling technique named Robust Mahalanobis-SMOTE (RM-SMOTE). The Propensity Score Matching (PSM) project was chosen as an.

Milan, Lombardy, Italy

I joined the #SDG group as an Early Stage Researcher to perform part of an Industrial Ph.D. position under the rules of the Marie-Curie Ph.D. fellowship. Here I got introduced to various real-world problems dealing with Imbalanced data. Mainly, I have worked on Lead Scoring projects and the data science solutions to the existing imbalanced data problem for.

Belgrade, Serbia

I joined #CIF to perform part of my duty as an early stage researcher under the rules of the Marie-Curie Ph.D. fellowship. I am going to get in touch with real-world problems related to Risk Management of big banks. Hope to gain lots of good experiences and could apply my expertise in this area.

Tehran Province, Iran

Doctor Of Philosophy - Phd, Data Science - Big Data - Marie-Curie Bigmath Project

Master Of Science - Ms, Artificial Intelligence

Bachelor Of Science - Bs, Computer Software Engineering