Leroy Merlin

Responsibilities: 1. Leading the analytical team of transport management system development; 2. Created system data architecture, data models, RDM models and BPMN processes workflows; 3. Implemented efficient algorithms for quote and order allocations; 4. Containerized development of microservices in Python using Fast API REST architecture. Microservice is responsible for automatic transport planning and quote distribution. Work results: 1. The planning time has decreased from hours to seconds; 2. The optimality of loading has increased by 15 percent.

EPAM Systems

Tasks performed: 1. Provided stakeholders with relevant, timely, and actionable customer insights from key eCommerce properties; 2. Analysed customer data from various sources (Google Analytics, Hotjar, surveys, NPS feedback, customer feedback, etc.) to extract actionable insights that drive tactical and strategic recommendations for customer experience enhancements; 3. Conveyed findings and recommendations verbally, as well as in the form of reports or presentations to internal stakeholders in a structured manner; 4. Researched and summarized relevant industry trends that drive consumer engagement and provide direction on their implications for feature development; 5. Proactively seek out new platforms, tools, and processes to sharpen and simplify ongoing analysis; 6. Proposed key metrics and competitive benchmarks to measure and track customer experience, aligned with business objectives and requirements; 7. Supported key stakeholders with ad-hoc analyses; 8. Worked with ambiguity and unstructured data to identify actionable trends and insights; 9. Translated findings into meaningful actions and recommendations and effectively communicated them across the organization; 10. Created company-wide workflow, Jira ticket’s template for the role;11. Continuously were looking for pain points of customers and prototyped various solutions; 12. Creating tasks in Jira for developers, designers, AB testers and ananalytical team based on research results; 13. Assistance in onboarding for new employees; 14. Created NLP model for feedback classification.

Domclick

Tasks performed: 1. Performed cohort retention analysis based on Clickhouse data to evaluate client engagement; 2. Created interactive dashboard in Google Data Studio to monitor key metrics such as bounce rate, exit rate and page depth and compare them to overallsite performance; 3. Made a detailed navigation path of user and how usage of comparing page impact targeted user actions; 4. Wrote a complex SQL script to evaluate traffic from different sources (web,ios, android) and number of unique offers to display it in Grafana Dashboard; 5. Divided users into groups depending on the nature of the use of the offer comparison page for further survey, also prepared SMART question for that survey.