Nikita Krasnov is Head of Data & Analytics with 8+ years applying mathematical rigor to credit risk, portfolio analytics and feature engineering across banking and telecom. He builds and operationalizes risk and scoring models (gini/psi/AR/DPD monitoring), leads DA/DE teams, and maintains a production-ready daily feature store on Postgres to accelerate model development. His background spans end-to-end model lifecycle work at Sberbank, Tele2 and Uzum Nasiya, including A/B testing, roadmap creation and migrating models into production. Trained at MIPT in computational mathematics, he combines deep quantitative foundations with hands-on systems skills—evident from his comfort with Linux, Rust and C++—which helps him bridge data science and engineering in production environments.
5 years of coding experience
5 years of employment as a software developer
Master's degree, Computational Mathematics, 4.55, Master's degree, Computational Mathematics, 4.55 at Moscow Institute of Physics and Technology (State University) (MIPT)
:whale: Build, run & test untrusted code in docker containers using Go
Contributions:5 releases, 23 PRs, 34 pushes in 2 years 8 months
containersgolangtesting-frameworkdockeruntrusted
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