Anton Rogozin is a data scientist with nine years of experience specializing in end-to-end machine learning systems, combining classical tabular ML and applied NLP. At SKB Kontur he has built real-time anti-money laundering classifiers (including fastText-based pipelines) and credit risk scoring models that fuse multiple company data sources. He follows LeanDS practices to keep experiments customer-focused and to streamline ML system design and deployment. Anton also amplifies his technical work through public-facing activities—authoring expert AI commentary and presenting business-focused AI cases at Innoprom 2023. With a background spanning SQL analytics, VBA automation, and hands-on IT support, he brings pragmatic engineering discipline to modeling and productionization. Colleagues describe him as a practitioner who bridges deep technical delivery with clear external communication to raise product and company visibility.
9 years of coding experience
2 years of employment as a software developer
Master's degree, Applied Computer Science, 5, Master's degree, Applied Computer Science, 5 at Ural State Technical University
Bachelor's degree, Computer Science, 4.97, Bachelor's degree, Computer Science, 4.97 at South Ural State University (SUSU)
Contributions:40 pushes, 1 branch in 3 years 3 months
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