Middle Data Analyst

Developed and maintained interactive Tableau dashboards, enhancing business metric visibility and
supporting data-driven strategic decisions
Automated reporting processes by integrating BigQuery with Google Sheets, reducing manual data
handling by 95% and improving reporting efficiency
Improved Python scripts for fraud analytics, incorporating new detection patterns and doubling the
amount of fraudulent activity prevented compared to the previous year
Identified and escalated data loss issues, collaborating with engineering teams to ensure prompt resolution
and uphold data quality standards

Developed and automated reporting solutions in KIAS, enhancing data accessibility and reducing manual
workload
Designed and optimized SQL-based solutions to support both new feature development and the
improvement of existing analytical tools and systems

Trained and mentored about 200 students, with a success rate of 90% gaining admission to NIS, BIL,
Fizmat
Developed structured curricula, diagnostic assessments, and individualized learning plans based on data
analysis of student performance

Conducted behavioral analysis and segmentation of the deposit portfolio to support targeted marketing
strategies and risk assessment
Automated daily reporting tasks using Python, reducing manual effort and saving approximately 2 hours
per day
Prepared key statistical metrics and business insights for presentations to bank management, aiding
strategic decision-making
Developed and maintained interactive dashboards using Oracle BI, improving visibility into financial
performance indicators
Enhanced and optimized Excel reports with VBA macros, streamlining repetitive processes and improving Reporting accuracy