Akim Zhakanov
Data Scientist
Almaty, Kazakhstan
Summary
👤
Senior🎓
Top SchoolAkim Zhakanov is a data scientist with 11 years of hands-on experience applying big data and machine learning techniques across financial and banking domains. He has built and productionized credit scoring and risk-reduction models (logistic regression, LightGBM, CatBoost, XGBoost) and enabled ETL and data modernization pipelines to make data analytics-ready for mathematical algorithms. Comfortable spanning roles from system analysis and SQL-heavy engineering to API development and web integrations, he blends practical software engineering (Python, Java, RabbitMQ) with rigorous model validation. Akim’s background in robotics engineering informs a methodical, automation-first approach to data quality and process control. He has a track record of delivering stakeholder-ready automated insights and Kanban-driven team coordination in regulated environments. Based in Almaty, Kazakhstan, he describes himself as an “omics” data scientist — indicating a strong affinity for complex, high-dimensional data and big-data tooling.
11 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Robotic's Engineering, 4, Bachelor's degree, Robotic's Engineering, 4 at Московский Государственный Технический Университет им. Н.Э. Баумана (МГТУ)
Русский, АнглийскийGithub contributions (1)
LJI-Bioinformatics/HLATyphon
Nov 2014 - Nov 2014
Contributions:13 commits, 1 comment in 19 days
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