Summary
Goksu Kizildogan is a Senior Data Scientist and IoT Analytics Practice Lead with nine years of experience bridging mechanical engineering and data science to deliver production-ready IoT solutions. He began his career tuning and modeling engines (1-D GT-Power, ANSYS Forte) at TEI, then transitioned to leading data science teams focused on ML, deep learning, ETL pipelines and GCP-based analytics. At Analythinx he combines technical leadership, client-facing sales enablement, and hands-on model development using tools like Vertex AI, BigQuery and Dataiku, while mentoring engineers in agile delivery. Unusually, his background in engine calibration and control theory informs pragmatic approaches to sensor diagnostics and predictive maintenance models. He is pursuing advanced studies (MS and PhD-candidate-level work) to deepen the mathematical foundations that support his applied ML work.
8 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Mechanical Engineering, 2.71/4.00, Bachelor's degree, Mechanical Engineering, 2.71/4.00 at Orta Doğu Teknik Üniversitesi / Middle East Technical University
Doctor of Philosophy - PhDc, Aeronautical Engineering and Aviation Technologies, 4.0/4.0 (Ranking 1st), Doctor of Philosophy - PhDc, Aeronautical Engineering and Aviation Technologies, 4.0/4.0 (Ranking 1st) at Eskişehir Osmangazi Üniversitesi
İngilizce, German