Promoting the construction and in-house development of ML models for credit screening! Case study of utilizing data professional personnel on-site.

We would like to introduce a case where our "Data Domain Professional Resident Service" has been utilized by Credit Saison Co., Ltd., which provides a variety of payment services. In the company's Credit Planning Department, there were challenges such as a shortage of personnel with ML skills necessary for improving the accuracy of credit logic, securing talent capable of generating business impact through large-scale data analysis, and the internal transfer of knowledge and know-how. A resident data scientist was responsible for building ML models, data preparation, analysis, and supporting system design from a data perspective. An incident that occurred the day before the release was quickly resolved through collaboration with the resident team members. [Case Overview] ■ Implementing Company: Credit Saison Co., Ltd. ■ Challenges: Shortage of personnel with ML skills, internal transfer of know-how ■ Implemented Service: Data Domain Professional Resident Service ■ Results: Smooth progress in building advanced ML models *For more details, please refer to the related links or feel free to contact us.

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