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Регистрация: 17.03.2026
Юрий Тростянски
Специализация: Junior Data Analyst
— Passionate about data analysis and risk detection in digital environments.
— Self-motivated learner with a strong analytical mindset and attention to detail.
— Focused on applying data skills to solve real-world problems in FinTech and iGaming.
— Quick to adapt to new tools and technologies, eager to contribute to team success.
Key Skills & Knowledge:
— Fraud detection patterns: multi-accounting, device fingerprinting, bonus abuse.
— Understanding of transaction flows and payment data.
— Analytical mindset: ability to detect anomalies, interpret data, and suggest improvements.
— Basic understanding of AML concepts and compliance.
— Fast learner, motivated to grow in Risk, AML, and FinTech analytics.
— Passionate about data analysis and risk detection in digital environments.
— Self-motivated learner with a strong analytical mindset and attention to detail.
— Focused on applying data skills to solve real-world problems in FinTech and iGaming.
— Quick to adapt to new tools and technologies, eager to contribute to team success.
Key Skills & Knowledge:
— Fraud detection patterns: multi-accounting, device fingerprinting, bonus abuse.
— Understanding of transaction flows and payment data.
— Analytical mindset: ability to detect anomalies, interpret data, and suggest improvements.
— Basic understanding of AML concepts and compliance.
— Fast learner, motivated to grow in Risk, AML, and FinTech analytics.
Скиллы
python
анализ данных
sql
AML
Опыт работы
data analyst
07.2025 - 01.2026 |Thermorex
SQL, Python, MS excel, Google sheets, BigQuery
Писал SQL‑запросы для анализа продаж и остатков. Строил дашборды в looker для отдела продаж и склада. Автоматизировал отчёты с помощью SQL и Google Sheets. Проводил ad‑hoc анализ, искал аномалии, готовил данные для руководства
Data Analyst
Project Experience: iGaming Analytics, Fraud Detection
PostgreSQL, CTE
● Designed and populated a PostgreSQL database simulating user registrations, bets, transactions, and game sessions.
● Wrote complex SQL queries using CTEs and window functions to calculate retention cohorts and user LTV.
● Analyzed user behavior across different countries and platforms to identify risk patterns.
Built a Metabase dashboard to monitor key business and risk metrics:
● Funnel analysis: registration → first bet → repeat bet → deposit.
● Daily turnover, Gross Gaming Revenue (GGR), user retention.
● Anomaly detection: multi-accounting by device_id, suspicious activity by card_hash.
Языки
РусскийРоднойАнглийскийСредний