Gunes Evitan is a Machine Learning Engineer who has worked at several companies in the field of data science. From 2019 to the present, Gunes has been a Grandmaster at Kaggle, consistently participating in competitions and sharing informative notebooks and discussion posts on various data science topics. At Algomedicus, from December 2020 to January 2023, Gunes worked as a Data Scientist on projects involving medical data, including the development of a clinical decision-support system for chest X-rays and an unsupervised trajectory estimation algorithm for endoscopy/colonoscopy videos. Gunes also gained experience in development and productization during this time. At Orientis.ai, from December 2020 to January 2023, Gunes worked as a Data Scientist on industrial computer vision projects, focusing on workplace safety and automated anomaly detection systems. Gunes gained experience in hardware selection and deploying models, including the use of IP cameras. Prior to this, from January 2020 to December 2020, Gunes worked as a Machine Learning Engineer at Massive Bio, where they contributed to building an AI-based precision oncology clinical trial matching system using natural language processing techniques to extract information from medical text data.
Gunes Evitan earned a Bachelor's degree in Public Relations and Advertising from Atılım Üniversitesi, completing the program from 2010 to 2015. In addition to their formal education, Gunes also obtained several certifications in various fields from Coursera. These certifications include "AI for Medicine," "Practical Data Science on the AWS Cloud," "Generative Adversarial Networks (GANs)," "Introduction to Statistics," "Open Source Software Development, Linux and Git Specialization," "Deep Learning Specialization," "Mathematics for Machine Learning Specialization," "Machine Learning," "IBM Data Science Professional Certificate Specialization," "Introduction to Programming in C Specialization," and "Python for Everybody Specialization." Gunes obtained these certifications between 2018 and 2022.
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