Eugene Zinoviev Email & Phone Number

Toronto, Ontario, Canada

• Developing and implementing a Decision Intelligence framework for the Single Version of the Truth initiative.• Integrating macroeconomic, strategic, and psychographic analyses into the Decision Intelligence framework to enhance decision-making depth.• Building an analytics data warehouse to support advanced analytics and business intelligence.• Deploying Microsoft Fabric to support the Decision Intelligence framework and optimize operational efficiency.• Designing and deploying decision support applications that streamline decision-making processes, reducing time and efforts by 50%.• Deployed a Live Racing application that assesses real causal impacts of racing decisions on wagering, modeling over a million potential scenarios.• Built an optimization model to maximize wagering by strategically optimizing the racing schedule.• Developed a dynamic causal uplift model evaluating the net effect of activities (promotions, loyalty programs, events, etc.) on wagering and creating dynamic customer segments.

Toronto, Canada Area

• Developed and implemented a Causal Inference framework that enhanced the accuracy of prescriptive models, resulting in improved quality of decision making.• Constructed a BG/NBD model to forecast purchase behavior among existing customers and determine Customer Lifetime Value.• Designed and deployed end-to-end machine learning pipelines using Azure Machine Learning, streamlining data processing and analysis.• Successfully deployed data science models to Azure Kubernetes Service, ensuring seamless integration into the production environment.• Conducted rigorous A/B testing for promotional campaigns, leading to a remarkable 70 percentage point increase in ROI.• Introduced Design of Experiments methodologies, yielding a 50% reduction in time and costs compared to traditional A/B testing.• Automated margin calculations at any level of granularity, saving an average of 60 hours of labor monthly.• Boosted efficiency by developing interactive dashboards using Tableau and Power BI, reducing weekly reporting time by over 20 hours.• Implemented a robust time series predictive model that accounted for annual and weekly seasonality, resulting in enhanced accuracy for financial planning.

Toronto, Ontario, Canada

• Improved and automated the supply chain analysis, which decreased operational costs by 23%. • Automated the cost-benefit analysis, which provided managers with real-time estimations for each project.

Kyiv, Kyiv City, Ukraine

• Designed a product analytics framework that improved the accuracy of the customer analytics by 70%.• Implemented marketing analytics models to improve the accuracy of decision making.• Developed a customer segmentation and targeting approach that saved 32% of the marketing budget.

Kyiv, Kyiv City, Ukraine

• Conducted strategy analysis and scenario modelling.• Built data science models to improve strategy analysis and decision making.• Implemented Futures Research Methodology that increased the accuracy of forecasts by 90%.Projects / Achievements• Created the Strategy Department from scratch.• Developed the business ecosystem strategy for OTP Group in Ukraine, which opened a way to transforming the group into an innovation hub.• Developed a new approach to customer segmentation based on the granular metrics and loyalty analysis, which led to an increase in profitability of customers by 40%.

Kyiv, Kyiv City, Ukraine

Professional Certificate, Data Science

Certificate In Management, Decision Intelligence

Ma, Economics

Specialist, Engineering/Industrial Management