Koray Can Canut

Senior data analytics role supporting real estate investment initiatives in Berlin/Brandenburg, focusing on data integration and reporting to enable timely insights for investment decisions.

Researched solutions and migrated the product data pipeline to Dataform, reducing refresh times by >90% and enabling hourly updates for time-sensitive data, improving metric consistency. Automated sales tracking (first time in the company) and reduced the error rate to <1%, enabling reliable long-term revenue visibility for the executive team, eliminating 10-15 hours of manual work per week for the sales team and supporting discount strategy decisions. Built end-to-end modular data pipelines and models for marketing and finance data, providing reusable datasets for analysts and enabling self-service reporting on Looker. Spearheaded data project prioritization with the RICE framework and managed stakeholder requests and expectations in line with the marketing and sales data strategy. Developed and productionized a decision tree model in Python on GCP to predict lead quality and support campaign optimization and budget allocation. Built multiple attribution models covering first-touch an

Gathered requirements and performed data modeling for a transformation project spanning 3 companies. Designed a reporting process in Tableau Prep reducing manual work for 10+ stakeholders.