Development of Credit Scoring Software Based on Customer Banking Transactions

Student: Koshkarev Pavel

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

Educational Programme: Computer Systems and Networks (Master)

Year of Graduation: 2020

The paper considers the development of software for solving the problem of credit scoring using the client's Bank transactions. Initially, we analyze the best method for solving such problems, which is the method of solving trees. To be the part of the dataset, the most representative and independent statistical indicators of the transaction sample are selected as input parameters, while the selection was based on the results of cluster analysis. Further, due to the lack of public access to the set of customer transactions and their main personal data, the method for generating such data is described. After that, the software structure is designed using development methods using UML diagrams. The final product is written in C# and XAML. The final work is presented on 60 pages, contains 20 figures, 5 tables, a list of sources used from 18 titles.

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