Ankara, Türkiye
I build Qlik Sense solutions end to end — SQL data models, ETL, dashboards, deployment, optimization — as a BI Consultant at BI Technology. Flagship work: SunExpress route optimization (OCC daily-use dashboard, 15-min refresh, ~€1M estimated annual impact, Qlik AI Reality Tour success story) plus a cloud migration cutting combined memory and reload ~63%. Hacettepe Statistics graduate (Honors). At BI Technology, I grew from L2 support to BI Consultant.
- Designed and developed Qlik Sense dashboards for multiple clients, translating business needs gathered with senior consultants into data-driven solutions. - Performed ETL of client data into Qlik Sense, including data cleaning and preprocessing. - Wrote application and report documentation defining project scope and functionality.
- Provided L2 software support for Qlik Sense and Qlik NPrinting, managing system configurations for performance and reliability. - Resolved environment issues covering TCP/IP, Websocket, and database connectivity, minimizing system downtime.
• Improved model accuracy and precision by implementing machine learning and deep learning algorithms. • Optimized data analysis processes, reducing project timelines and increasing on-time delivery rates. • Enhanced data processing speed by leveraging Spark for handling large datasets. • Reduced SQL query durations and improved data access performance through optimized database operations. • Supported data-driven decision-making by providing actionable insights using data visualization tools.
• Developed a machine learning model in Python to predict house prices. • Executed data cleaning, merging, and querying tasks using SQL and Python. • Created interactive data visualizations to support data analysis and reporting processes.