Position: Data Analyst/Data Scientist
Category: Data Analyst
English level: fluent
Years of experience: 2

Employment achievements:
• Built and maintained affiliate marketing fraud tracking dashboard
• Automated ETL data pipelines for marketing fraud detection
• Performed operational and adhoc marketing analytics

cetrficiations:
• Swedbank Data academy
  - Data warehousing training that included SQL, ETL, Data Modelling, Data Validation
• Parimatch Tech Academy DevOps
  - Course in cloud engineering utilizing AWS, infrastructure management and 
DevOps practices 
  - Initial experience with troubleshooting Linux, Docker and Kubernetes
  - Course project – Kubernetes cluster with nodes and horizontal pods 
autoscaling utilizing GitOps approach with Flux and Grafana for monitoring
• Genesis IT School 
  - Completed comprehensive school of digital online bussiness where I was taught foundation of market research, product strategy, market positioning and marketing strategy, building sustainable internet projects
  - Together with a team built and validated a prototype of mobile app

education:
• Kyiv Polytechnic Institute (IASA) - bachelor in system analysis
•Had over 1.5 year of experience with data analytics stack:
SQL, Tableau, Python ( Pandas, numpy, sklearn, plotly ), Excel.
•Developed dashboards, created datasources, performed adhoc analytics.
Main tasks were related to marketing analytics, developing dashboards of exposure and development of marketing antifraud tools
•Throughout internships, university courses, it-academies and personal projects developed skills of market-research, problem researching, hypothesis validation and testing, utilizing data science and machine learning approaches to solving problems. On top of that gained experience in cloud engineering utilizing Kubernetes ( Docker ) and Terraform to deploy solutions to production environments.
•Built a strong technological foundation to grow as a data-specialist for fast and efficient communication with colleagues from different technical fields contributing to common goal