Alexander Evtushenko

I’m a Data Analyst transitioning from a Database Administration background, and I bring hands-on SQL, Python, and data visualization experience. I focus on turning relational data into actionable business insight, with a strong emphasis on query optimization and data integrity.

In my end-to-end analytics work, I built and published a complete project using PostgreSQL, pandas, and Tableau. It covered revenue analysis, customer retention, churn segmentation, and LTV modeling—supported by advanced SQL using window functions and CTEs.

From my database experience, I’m comfortable owning performance and reliability fundamentals: schema design, indexing, backups, and routine maintenance. I also optimize SQL for reporting and operational needs by analyzing execution plans and improving query performance.

On the visualization side, I built an interactive Tableau Public dashboard with 5 linked views and translated findings into clear recommendations. For example, I identified that 45% of customers were churned and that the Tables sub-category generated a loss despite high revenue.