- AML/ compliance
- behavioral analysis of cryptocurrency wallets
- fraud-detection
- analysis of De-Fi protocols
- tokenomics
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Data analysis: mathematical statistics, hypothesis testing (A/B), advanced SQL, Python: NumPy, Pandas, Scikit-Learn; Excel
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Machine learning: regression models, decision trees, gradient boosting (behavioral & anomaly analysis)
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Product & transaction analytics: DAU/WAU/MAU, retention, churn, ARPU, ARPPU, LTV
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Data visualization: Python: Matplotlib, Seaborn, Plotly; Tableau (analytical dashboards)
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Blockchain Tech: understanding of blockchain architecture, transaction data structures, smart contracts read,
About the company: De-Fi exchange
Goal: to provide exchange users with summary information about their crypto wallet balances, rewards received for participating in farming, staking, and other exchange products
✅ Developed a dashboard that helped 300+ exchange users track their investments, token balances, and farming rewards.
🔑 Key skills
Dashboard design and configuration, RESTful API,
De-Fi, Blockchain, Metamask, cURL, RESTful API, Swagger, database design, Python, UML, BPMN, User Story, User Case
- Magistrature MIPT Data Science, from September 2025
- Self-education in Data Analysis and Machine Learning, from January 2024
- Pre-accelerator Internet Iniciative Development Fund, 2018, 2019
- National Research University of Electronic Technology, Bachelor's degree, 2019, Faculty: Electronics and Computer Engeneering Specialisation: Biotechnical Systems and Technologies The Average diploma score: 4.6
▶ Product case:
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▶ Design case:
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▶ Research case:
analys of demographic data
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