Product Analyst
About Me
I am a data analyst with more than 3 years of experience in iGaming and product analytics, with a strong focus on retention, churn, LTV, cohort analysis, A/B testing, event analytics, dashboards, and analytics infrastructure.
I have worked extensively with SQL, Python, PostgreSQL, BI tools, API integrations, Docker-based workflows, and AI agents to automate analytical tasks and improve reporting efficiency.
In my recent roles, I analyzed user behavior in online casino products, built dashboards and data marts, automated reporting, and helped improve 30-day retention through experimentation and data-driven insights.
I also have experience as a data scientist, where I prototyped multi-agent LLM workflows, built RAG/vector-search pipelines, and designed knowledge-graph solutions for analytics, monitoring, and investigation use cases.
I enjoy translating business questions into clear metrics, experiments, and dashboards, and I am comfortable collaborating with both technical teams and business stakeholders.
Outside of work, I value a calm and disciplined lifestyle and keep active by training at the gym.
Skills
PythonSQLDockerAutomationPostgreSQLForecastingA B TestingGoogle SheetsRedisBusiness AnalysisMiroMariaDB
Education
Applied Mathematics
Higher Education
Data Analyst
Additional training
Deep Learning Model Development
Additional training
Experience
Analyzed user behavior in online casino products, including churn prediction and survival analysis; developed dashboards and reporting; created data marts and automated reporting; documented analytical processes; worked with SQL, Jupyter, Jira API, Kotlin/Timber logging, Docker, and AI agents.
Prototyped AI-agent workflows for analytics, retention, churn, fraud/risk monitoring, and automated reporting; built multi-agent LLM architecture; developed RAG/vector-search pipelines; designed knowledge-graph workflows; worked with Python, SQL, FastAPI, MariaDB, Redis, Docker, LLM APIs, embeddings, and streaming analytical interfaces.
Analyzed retention, LTV, churn, and player segments; built Tableau dashboards for marketing, product, and finance teams; ran A/B tests; conducted financial analytics; worked with PostgreSQL and optimized ETL processes.