Summary
Çağatay Çiftçi is a data scientist with 9 years of experience applying ML and time-series forecasting to automotive spare-part demand, fault resolution, and predictive maintenance across large Turkish firms like Doğuş Teknoloji, NETAŞ and Turkcell. He combines an electrical engineering background with an MS in Artificial Intelligence to build production-ready ML pipelines, Streamlit apps, and a shared DT library for model deployment. His work spans end-to-end tasks from KPI design and anomaly detection to RUL/HI prognostics in EU-funded projects, demonstrating both research rigor and operational delivery. Based in Istanbul, he has a practical knack for turning network and device telemetry into actionable forecasts and automations that reduce downtime and spare-part costs.
9 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Elektrik ve Elektronik Mühendisliği, Bachelor's degree, Elektrik ve Elektronik Mühendisliği at İstanbul Üniversitesi
Master of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at Bahcesehir University