Sibel Göde

Employing advanced data visualization techniques with the SAC reporting tool and MS Excel Utilizing Python for data analysis and reporting purposes Creating and following regular Holistic KPI with Best Practice Analysis Products and Partner analyses and Process Optimization

Analyzing customer behaviors, and CRM campaign performances and creating future predictions with models by using SAS EG, Providing information with data visualization techniques by using the SAS VA Reporting tool, Determining target customers with SQL for Omnichannel CRM campaigns (retail, e-commerce). Forecasting campaign performances, creating and analyzing customer journeys with SQL, Create and follow up regular reports, KPIs, and analyses.

Preparation of customer segmentation by using IBM SPSS Modeler and SQL. Examining and analyzing customer behavior with IBM SPPS Modeler and preparing trend models to predict customers' future behavior. Using Oracle BI reporting tool to prepare visualized and content-rich dashboards. Making different types of models with IBM SPSS Modeler and Python to increase profit like the Logistic Regression model.