Insaf Ashrapov is an Executive Director of Data Science with 11 years of experience building production ML systems and leading cross-functional analytics teams at Sberbank. He has driven measurable business impact—improving loan payment accuracy by 17%, automating credit monitoring to cut costs by 15%, and pioneering fraud prediction models based solely on individual data. Comfortable bridging research and production, he led integration of transformers and LLMs into credit monitoring and directed multiple DS teams across antifraud, collections, data quality, and NLP. His background spans data engineering to product ownership, enabling reliable end-to-end delivery of predictive solutions at scale. Trained at MIPT with deep experience in Python, PySpark and SQL, he pairs technical rigor with C-level stakeholder influence to shape risk and strategy decisions.
11 years of coding experience
7 years of employment as a software developer
Bachelor & Master's degree Banking information technologies, Bachelor & Master's degree Banking information technologies at MIPT Moscow Institute of Physics and Technology
We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.
Contributions:4 releases, 127 commits, 45 PRs in 2 years 10 months
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Insaf Ashrapov - Executive Director Of Data Science