Enes Can Oguz

After normalizing the subscriber data, classifying the subscriber base using classification methods. Determining the score according to 'the situation of the stores, environmental quality and human traffic'. Then selecting the most significant variable according to these scores and providing feedback to the stores about their sales with dashboards. Extracting clean data from Oracle SQL and creating pivot tables with Excel to perform analysis. Preparing dashboards and reports with Power BI to explain the results of the work to advertising and commercial side of the company.

Examining the database with Oracle SQL and checking of data accuracy. Creating a subscriber table for Gamer Users from the main and other tables in the 11 million active subs database. Providing the subscriber information data required for advertising work and the subscriber base for Campaign Side of Company with Oracle SQL, then result analyzing according to the feedbacks from stores.

Bachelor's degree in Industrial Engineering, focusing on data analysis and system optimization.