Egor Ignatenkov is a Berlin-based Data Science Team Lead with 11 years of experience applying mathematical rigor to real-world ML systems and big data pipelines. With a specialist degree from MSU and training at Yandex School of Data Analysis, he combines deep quantitative skills with hands-on engineering in Python, C++ and R to build and productionize models for geolocation, healthcare and B2B services. He has led teams at Simplaex and Rivr while earlier growing and managing testing and support divisions at Diasoft, giving him rare strength across model development, deployment and quality assurance. Egor is pragmatic and inventive—comfortable optimizing algorithms for speed and accuracy and translating complex analyses into clear visual narratives for stakeholders. He thrives in hi‑tech environments where mathematical insight meets scalable software engineering.
11 years of coding experience
8 years of employment as a software developer
Big Data, Big Data at Yandex School of data analysis
Lomonosov Moscow State University
Английский, Украинский, Немецкий, Польский, Русский
Contributions:16 pushes, 1 branch in 5 years 1 month
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