Summary
Hilal Yüksel is a Senior Data Scientist based in Istanbul with four years of hands-on experience building and deploying production-grade ML systems across image, tabular and text modalities. She has led end-to-end model lifecycles—design, feature engineering, training, containerized deployment with Docker/Kubernetes, and automated CI/CD for low-latency inference—most recently owning the Otobid Price Engine at sahibinden.com. Her work spans cloud platforms (GCP, Azure), large-scale analytics (Vertica, Starburst, BigQuery), and practical use of LLMs to extract unstructured vehicle damage information. Hilal combines strong statistical modeling and forecasting skills with applied deep learning (EfficientNet V2 fine-tuning, object detection) and production orchestration via Airflow and Jenkins. She is comfortable collaborating with product, engineering and consulting teams to turn research-grade models into measurable business outcomes. Beyond models, she brings a pragmatic focus on reliability and scalability that helps bridge research experiments and robust commercial services.
4 years of coding experience
2 years of employment as a software developer
Bachelor's Degree, Mechatronic Engineering, 3.05, Bachelor's Degree, Mechatronic Engineering, 3.05 at Istanbul Commerce University
İngilizce