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Dmytro Buzanov

@dmytrobuzanov

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Data analyst turning player, product, and marketing data into retention-focused decisions and dashboards.

Latvia

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What I'm looking for

I’m looking for a role where I can own analytics end-to-end—pipelines, modeling, and dashboards—partnering with product/CRM/marketing to improve retention and growth through data quality, automation, and measurable outcomes.

I’m a data analyst who builds SQL/Python pipelines and BI dashboards that help product, CRM, and marketing teams move faster—especially in iGaming. In my current role, I deliver analytics across multiple brands for 10M+ users, optimize data workflows powering 15+ Tableau dashboards, and improve multi-account detection accuracy by 25% while increasing retention with targeted campaign analysis.

Previously, I designed analytics systems for marketing and product strategy, built VIP/Growing VIP models, and improved retention efficiency by 20% while raising player reactivation rates by 15%. I’m motivated by clean data, automation, and practical predictive modeling—whether it’s cohort/segmentation analysis, funnel and A/B testing, or NLP/ML projects like anomaly detection and user behavior clustering.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst

Current

The WhyKingz

Dec 2024 - Present (1 year 8 months)

Deliver analytics across multiple iGaming brands, analyzing player behavior, retention, segmentation, and bonus efficiency for 10M+ users. Build SQL/Python data pipelines and dashboards, and improve VIP/pre-VIP detection and campaign impact measurement.

SQL Python PostgreSQL Clickhouse BigQuery Tableau Retention Analysis Segmentation Data Quality

Data Analyst

Win Win Media

Sep 2023 - Nov 2024 (1 year 2 months)

Designed and implemented analytics systems to support marketing and product strategies, including web analytics, dashboards, and reporting. Built models to calculate and forecast VIP/GVIP players and used Python/SQL/Power BI to automate reporting and improve retention and reactivation outcomes.

Python SQL Power BI Web Analytics Dashboarding Reporting Marketing Analytics Product Analytics VIP Player Modeling Player Reactivation Analysis predictive modeling Dashboard Automation

Product Analyst

Kit/code

Oct 2022 - May 2023 (7 months)

Implemented analytical and research capabilities within the iGaming product department. Analyzed product metrics, built performance dashboards, and optimized bonus system algorithms and player classification logic in collaboration with product, marketing, CRM, and billing teams.

Product Analytics Research Analytics Dashboarding Player Classification Logic Product Metrics Optimization

Data Analyst

Datrics.AI

May 2022 - Aug 2022 (3 months)

Built interactive analytical dashboards for NEAR Protocol, DAOs, and dApps. Collected customer requirements, performed data preprocessing/analysis on blockchain-related data, and designed widgets and visual reports to present key insights.

Interactive Reports data preprocessing Requirements Gathering Data Visualization Widgets

Marketing R&D Analyst

Parimatch Tech

Aug 2021 - Jan 2022 (5 months)

Conducted market research and product analytics for mobile games across iOS and Android. Managed product experiment lifecycle (MVP/PoC/Product-Market Fit) and built predictive and retention models using cohort and segmentation analysis for key metrics.

Market Research Product Analytics predictive modeling Retention Analysis Cohort Analysis Segmentation DAU MAU LTV Modeling CPI Revenue Analytics

Data Analyst

National Health Service of Ukraine

Dec 2020 - Jan 2021 (1 month)

Contributed to Ukraine’s national medical reform through data analysis and automation. Automated contract/medical package/reporting workflows, built Python bots and SQL queries for cost calculations and reporting, and created dashboards for management and external stakeholders.

Data Analysis Automation Python SQL Cost Reporting Dashboarding