Ahmet Durmuş is a Data Scientist and quant researcher with 8 years of experience applying neural networks to time series problems, specializing in supervised RNN models for financial and language data and exploratory use of autoencoders for feature extraction. Based in Istanbul, he has driven model development and research at TEB Arf and Kare Portföy Yönetimi, turning academic deep learning experiments into production-oriented trading and analytics solutions. His background in industrial engineering and economics gives him a strong quantitative foundation and a pragmatic view of model risk and deployment. Outside work he stays current by reading deep learning papers and enjoys comic books, a combination that fuels both analytical curiosity and creative problem framing.
8 years of coding experience
Master of Arts - MA, Economics, Master of Arts - MA, Economics at Koç University
Bachelor of Science - BS, Industrial Engineering, Bachelor of Science - BS, Industrial Engineering at Orta Doğu Teknik Üniversitesi / Middle East Technical University
High School Diploma, High School Diploma at Robert College
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