Furkan Güleryüz is a Senior Data and BI Engineer with nine years of experience designing and 운영ing data warehouses, ETL pipelines, and ML-ready data platforms across finance, e‑commerce, and R&D organizations. He blends a strong academic bent—currently a PhD student in NeuroAI—with hands-on engineering from building ITU’s university data warehouse to leading BI/DWH projects at Yemeksepeti, Smartmind and Türkiye Finans. Furkan has led end-to-end data modeling for incremental and historical use cases, mentored junior engineers and interns, and even launched an e‑export venture serving global markets, evidencing both technical depth and commercial instincts. Comfortable across SQL, .NET-era engineering and modern ML data workflows, he focuses on turning messy enterprise data into reliable analytics and ML inputs. An uncommon mix of academic research in neural decoding and pragmatic production BI makes him effective at bridging research needs and production constraints.
9 years of coding experience
5 years of employment as a software developer
Bachelor's degree Mathematics Engineering, Bachelor's degree Mathematics Engineering at Istanbul Technical University
Official repository for the paper "Reconstruction of Perceived Images from fMRI Patterns and Semantic Brain Exploration using Instance-Conditioned GANs" by Furkan Ozcelik, Bhavin Choksi, Milad Mozafari, Leila Reddy, Rufin VanRullen.
Contributions:29 commits, 1 PR, 5 pushes in 2 months
Contributions:57 commits, 10 pushes, 3 comments in 1 month
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