- self-employedFractional Revenue Operations, Sales & Product Lead, contractJuly 2024 - March 2025 (8 months)Berlin, Germany• Built end-to-end deal flow analytics for AI SQL reporting tool along blog pages, landings to signups, demo requests, trials, and subscriptions with Google Analytics, Hubspot, and user data identifying conversion gaps to benchmarks and SEO strategy to maximize growth• Integrated Clay-HubSpot-Linkedin-Lemlist workflow that enabled cold outreach and LinkedIn Ads audiences sync. Produced a workflow to enrich with Clay and upload contacts with HubSpot API to contact PQLs in Linkedin leading to 30% acceptance and 7% reply rates• Developed end-to-end user onboarding analytics with PostHog for AI resume tool and enabled 30%->70% activation and 12%->25% value capture rate. The marketing effort was rebalanced into a high-performing channel producing 23% of signups as a result
- UATalentsco-founder, Chief Executive OfficerMarch 2022 - June 2024 (2 years and 3 months)Berlin, Germany• talent platform that partnered with Meta, Bolt, Flix, Project A, Earlybird, and c.10K employers to help 1.5M Ukrainians fleeing from war find job opportunities in the EU• Developed the sales process tracking ICPs/Personas conversions along MQL PQL-SQL-Deal funnel with 1.2%-20% and 28 days end-to-end conversions channel-dependent, incl. 45% reply rates for PQLSignal, 51% SQL/JobOpen• Automated lead flow and analytics covering PLG Inbound w. Mixpanel, 3rd party lead signal tools, Linkedin, Pipedrive, Lemlist, Mailerlite & Funnel reporting in HEX• Built end-to-end recruitment process analytics from scratch, introduced team KPIs, tracked and improved performance, e.g. 10%->22% candidate reply rate increase and 15 -> 9 min candidates required to close with additional assessment points introduction
- azimu.aico-founderMarch 2019 - February 2022 (2 years and 11 months)Berlin, Germany• azimu improved software development cycle time by delivering actionable insights to PMs/EMs with KPIs and process funnel visualization• Led sales, and Product Management, incl. client data analysis with SQL+ML from multiple sources (Jira, Git, Slack, PostgreSQL) and data visualization with Plotly• performed deep customer data analysis and directly worked with a Data Scientist to ideate and implement platform AI features like feature ETA and ETA contributors, including experiment review (Jupyter Notebooks), model evaluation (Gradient Boosted Trees, MSE/MAE) and further model development ideation• performed c. 100 user discovery calls and implemented Atomic user research methodology to identify pain points• Used the Opportunity Solution Tree approach to identify core opportunities and prioritize the backlog• Prepared and updated interactive product mockup in Figma for user testing and describing features in the backlog• Ideated the backlog and collaborated with the team to plan for its implementation. Jira and azimu itself were used as collaborative tools• Run a Customer Discovery Program with 5 pilot customers to validate PMF
- UCU Data Science Master Program2021
- Bayesian methods in Data Science,UCU ML2018Bayesian methods in Data Science,
- Machine Learning, Recommender systemsUkrainian Catholic University (UCU) ML schools2017Machine Learning, Recommender systems
- Master of Science in FinanceThe University of Kyiv-Mohyla Academy2012Bachelor with honors and Master in Finance,