Istanbul, Istanbul, Türkiye
As an İstanbul Teknik Üniversitesi Industrial Engineering graduate, I am a Senior Business Intelligence professional currently driving data-driven decision-making at Bilyoner. I specialize in bridging the gap between complex data architectures and strategic business insights, with extensive expertise in end-to-end BI solutions. My technical core revolves around architecting robust data pipelines, writing advanced data extraction scripts, and developing high-performance visualization ecosystems using both Tableau and Qlik Sense. From automating web data collection with Python and Scrapy to building reliable data sources using PostgreSQL and MySQL, I focus on creating scalable, enterprise-level reporting infrastructures. Passionate about optimization and continuous improvement, I thrive on turning raw data into interactive, impactful dashboards that empower teams to make confident, strategic choices.
· Designing, developing, and maintaining enterprise-level business intelligence applications and advanced data models using Qlik Sense. · Writing and optimizing complex SQL queries to extract and transform large datasets, ensuring high-performance reporting and efficient data processing. · Managing the end-to-end delivery of critical regulatory and compliance reports, ensuring strict adherence to legal frameworks and deadlines. · Taking full ownership of data accuracy, consistency, and integrity across all production reports and corporate dashboards. · Preparing, updating, and automating high-impact dashboards and analytical insights tailored for senior leadership and executive management to drive strategic decision-making.
• integration of data from the ERP system into Tableau from scratch. • used Data Crawling via Scrapy for retrieving data from 3rd party sites. • used API for retrieving data and a regular source was created by Cron. • ERP data was transferred to SAP using Tableau Prep Builder platform. • created sources using Postgresql and Mysql and interactive dashboards were created in Tableau.
• prepared reports in PyCharm using Python for the all countries where Getir operates. • prepared new datasources in Tableau by writing SQL query in DataGrip. • created tables in Redshift using DBT to prepare the data sources.
• prepared dashboards in Tableau so that the teams we collaborate with can benefit from. • optimized the areas where warehouses deliver orders by preparing dashboards with Maps in Tableau. • suggested improvements by analyzing KPIs in Tableau. • analyzed the operational problems and offered solutions. • determined the campaigns that should be activated according to the performance of the warehouses.
• made a competitive pricing analysis taking into account customer profiles and customer preferences. • researched how the product should be priced to reach the target customer considering customer perception. • analyzed the effect of products whose prices were changed on consumers.