Dr. Unsal Gokdag
About Dr. Unsal Gokdag
Dr. Unsal Gokdag is a Staff Data Scientist with expertise in performance optimization using SIMD, AVX2, and AVX512, as well as proficiency in MATLAB and RAMAN spectroscopy. He has extensive experience in data analysis, computer vision techniques, and has held various roles in data science and engineering across multiple companies in Germany and Turkey.
Current Role at Forto
Dr. Unsal Gokdag serves as a Staff Data Scientist at Forto, a position he has held since 2022. In this role, he focuses on advanced data analysis and optimization techniques. His expertise includes implementing SIMD, AVX2, and AVX512 for performance enhancement. Dr. Gokdag's work contributes to the development of data-driven solutions within the company.
Previous Experience at Forto
Dr. Gokdag has a history of working at Forto in various capacities. He initially joined as a Data Engineer for four months in 2018, followed by a role as a Data Scientist for nine months in 2019. He later advanced to the position of Senior Data Scientist, where he worked for two years from 2020 to 2022. His roles involved leveraging data science techniques to improve operational efficiency.
Education and Expertise
Dr. Gokdag holds multiple degrees in engineering. He earned a Bachelor of Science in Computer Engineering from Boğaziçi Üniversitesi, followed by a Master of Science in Software Engineering from the same institution. He completed his Doctor of Philosophy in Computer Engineering at Yıldız Teknik Üniversitesi. His academic background supports his expertise in areas such as MATLAB, RAMAN spectroscopy, and genetic algorithms.
Professional Background
Before joining Forto, Dr. Gokdag worked at İdea Teknoloji Çözümleri as an R&D Engineer from 2013 to 2016 in Istanbul, Turkey. He then transitioned to Seven Bridges, where he served as a Senior Data Scientist for one year from 2017 to 2018. His experience spans various data science applications, including the use of SAR satellite imagery and Extreme Learning Machines.
Specialization in Data Science
Dr. Gokdag specializes in privacy-preserving search and blockchain applications related to genetic data. He is skilled in computer vision techniques, including item/object detection, shelf line detection, and perspective correction. His proficiency in these areas enhances his contributions to data analysis and optimization projects.