Hasan Can Nesanır has a diverse work experience in various roles and companies. In 2018, they started their career as a Civil Engineering Intern at OTOYOL YATIRIM VE İŞLETME A.Ş. After completing their internship, they joined Metropol İnşaat as a Civil Engineering Intern in February 2021. Later in September 2021, Hasan worked as a Site Engineer at Oze Grup İnşaat A.Ş. Moving forward, in April 2022, they interned as a Data Research Analyst at Ekstra AI. Presently, they are a Business Analyst at Etiya, starting from November 2022. Hasan's work experience showcases their adaptability and their growth in both the engineering and data analysis fields.
Hasan Can Nesanır completed their undergraduate education from 2015-2021 at the Izmir Institute of Technology, where they obtained a Licentiate Degree in Civil Engineering. In addition to their formal education, Hasan Can Nesanır has acquired various certifications related to data science and machine learning. These certifications include "Machine Learning 501" from Turkcell Geleceği Yazanlar, "SQL Server T-SQL Data Management and Reporting" and "SQL Server with Real-World Exercises" from Udemy, "Data Science Project Cycle" from Turkcell Geleceği Yazanlar, "Introduction to deep learning" from Global AI Hub, "Data Preprocessing" from Turkcell Geleceği Yazanlar, "Introduction to Machine Learning" from Global AI Hub, "Machine Learning 101", "Machine Learning 201", and "Machine Learning 301" from Turkcell Geleceği Yazanlar, "Python Bootcamp" from Global AI Hub, "Data Analysis", "Data Visualization", and "The Beginner Data Science Path" from Global AI Hub, "Data Analysis Path" and "The Beginner Data Science Path" from Patika.dev, "Machine Learning Boostcamp" from Istanbul Data Science Academy, "Sürdürülebilirlik" from Güneydoğu Anadolu İhracatçı Birlikleri, and "Veri Okuryazarlığı 101" from Turkcell Geleceği Yazanlar, "Introduction to AI, Robotics and Data", and "Introduction to Python" from Global AI Hub. These certifications demonstrate Hasan Can Nesanır's continuous efforts to expand their knowledge in data science and machine learning.
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