Summary
Pınar Ayaz is an IT consultant and data engineer with eight years of experience building production-ready data solutions and ML-driven products across consulting and startup environments. Currently completing an MSc in Data Engineering and Analytics at TU Munich while consulting at Netlight, she combines a strong academic background from Bilkent and EPFL with hands-on expertise in Python, SQL, dbt, cloud platforms and distributed systems. Her career spans cloud transformation work at Deloitte, ML engineering for smart manufacturing at PreciBake, and NLP research, reflecting a rare blend of research thinking and pragmatic system design. Known for translating complex data problems into actionable pipelines and dashboards, she thrives on collaborative problem solving and delivering impact across industries. An early fascination with NLP and ML continues to inform her focus on scalable, production-focused analytics rather than just prototyping.
8 years of coding experience
2 years of employment as a software developer
High School Diploma, Natural Sciences, 98.5, High School Diploma, Natural Sciences, 98.5 at Izmir Fen Lisesi
Master of Science - MS, Data Engineering and Analytics, 1.9 (1.0 highest), Master of Science - MS, Data Engineering and Analytics, 1.9 (1.0 highest) at Technical University of Munich
Bachelor of Science - BS, Computer Engineering, 3.71 (4.0 highest), Bachelor of Science - BS, Computer Engineering, 3.71 (4.0 highest) at Bilkent University
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at EPFL (École polytechnique fédérale de Lausanne)
English, Turkish, German