About Doğa
Data & Analytics Professional with 5+ years of experience in translating large-scale customer and operational data into actionable business solutions. While rooted in the fast-paced telecommunications sector, my analytical skill set is highly transferable across diverse industries. Holding an M.Sc. in Data Science from Tilburg University , I combine advanced SQL and clean Python coding with a strong background in customer experience (CX) and process optimization. I thrive in versatile roles whether developing robust predictive models as a Data Scientist , delivering scalable business intelligence as a Data Analyst , or mapping and optimizing end to end workflows as a Journey/Process Analyst. Proven track record in bridging the gap between technical data squads and commercial stakeholders to drive operational efficiency.
Turkish
Native or bilingual
English
Native or bilingual
Dutch
Basic
Can work on-site
Amsterdam (up to 50km)
Experience
- KPNData Transformation InternTELECOMMUNICATIONSAugust 2025 - January 2026 (5 months)Amsterdam, Netherlands•Collaborated with Agile Data Engineering squads to ensure data pipeline scalability and data quality, aligning complex technical data models with business and analytics requirements.•Acted as an analytical bridge between data squads and commercial stakeholders, translating data science andvtransformation requirements into actionable business insights.• Supported data infrastructure alignment during critical phases (Go-Lives, technical Q&A sessions), ensuring proper data documentation and governance across E2E data flows.•Contributed data-driven recommendations to optimize data processes, facilitating smoother integration of analytical outputs into the broader business program
- Turkcell TechnologyExpert Business Data AnalystTELECOMMUNICATIONSJune 2021 - June 2023 (2 years)Istanbul, Türkiye•Built and deployed advanced time-series forecasting models and linear/non-linear regressions using Python and SQL to predict customer behavior and support strategic planning.•Developed predictive models and behavioral customer segmentations to optimize large-scale marketing campaigns, directly improving conversion rates, customer retention (churn reduction), and ROI. Patented an automated calculation engine for post-campaign performance measurement , streamlining data processing pipelines and refining commercial ROI attribution logic.•Applied statistical analyses and hypothesis testing on massive telecom datasets to uncover market trends, evaluate commercial pricing elasticities, and drive data-informed business decisions. Architected technical data requirements and robust data models for business intelligence tools, enabling scalable data storytelling and automated tracking of key performance metrics.
- Getir Retail LogisticCustomer Experience AnalystRETAIL (LARGE RETAILERS)December 2022 - March 2023 (3 months)İstanbul, Türkiye•Developed and automated data-driven demand forecasting models to optimize workforce scheduling and field operations , significantly increasing operational productivity and data reliability.•Analyzed complex customer behavioral and operational datasets using Python and Tableau , surfacing actionable trends and root causes to support strategic business and technical decisions.•Applied statistical analysis and forecasting techniques to evaluate customer lifetime value indicators , leading to quantifiable improvements in customer experience metrics and commercial sales performance.• Formulated data-backed project roadmaps and streamlined operational tracking systems , transforming raw field metrics into scalable, automated executive dashboards.
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Education
- Master of Science ( Data Science )Tilburg University2026M.Sc. Thesis: Benchmarking Long-Term Cognitive Networks for Explainable Forecasting | Python, LTCNs, XAI Scholarship: Recipient of the NL Scholarship (formerly Holland Scholarship), funded by the Dutch Ministry of Education. GPA: 7.0
- Bachelor of Business AdministrationMarmara University2016GPA: 3.22/4