Ahmet Ünlü

- Created interactive KPI dashboards in Power BI and Tableau; manual analysis time reduced by 25% - Presented Power BI dashboards to simulate realistic stakeholder review sessions and make reports more insightful

- Validated logistics KPIs using SQL; supported ETL & test automation efforts - Integrated QA checks into CI/CD pipelines (GitHub Actions, GitLab CI) - Collaborated via Jira/Confluence and helped reduce regression errors by 25%

- Monthly budget analyses and forecasts conducted;forecast accuracy increased by 10% - Excel models for cost and revenue variance analyses developed to enable data-driven decision-making resulting in a 5% improvement in cost control

- Developed forecasting models and regression systems using ARIMA, ETS, and macroeconomic indicators (e.g., GDP, wage index) to simulate tax revenue under policy scenarios. - Designed a predictive audit scoring model based on taxpayer data to support risk-based audit selection. - Built dashboards in Excel to visualize risk scores and policy impacts. - Applied anomaly detection techniques (e.g., sigma rules, DBSCAN, Benfordʼs Law) to identify fraud patterns and irregularities.

- Modeled fiscal impact of tax policy scenarios using Excel-based simulations. - Conducted regression analyses to measure revenue sensitivity to inflation and economic growth. - Delivered sector-level trend analyses and data visualizations to inform national budget planning. - Built early-stage statistical models that laid the foundation for later predictive analytics work

- Detected anomalies and irregularities using rule-based filters, threshold analysis, and descriptive statistics. - Investigated fraud cases by identifying outliers and generating compliance reports based on €2 million in recovered discrepancies. - Created visual summaries and audit documentation that supported legal enforcement and policy revisions

- Delivered Excel automation for a local firm - Built end-to-end dashboard and ETL projects with Power BI and Python - Applied ARIMA and Prophet models on revenue forecasting and anomaly detection