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Igor Kossaczký is a Senior Data Scientist at Questar Auto Technologies, specializing in models for anomaly detection and predictive maintenance, and developing a vehicle insights app utilizing OpenAI LLMs, Databricks SQL, and Streamlit. Prior experience includes serving as a Data Scientist at Aptiv, where Igor worked on radar-based computer vision with neural networks and contributed to the R&D of innovative automotive applications, co-authoring over four patent applications. Igor also held the position of Research Assistant at Bergische Universität Wuppertal, focusing on research in computational finance and teaching various mathematical subjects. Igor earned a Dr. rer. nat. in Mathematics from Bergische Universität Wuppertal, complemented by degrees in Economic and Financial Mathematics from both Univerzita Komenského v Bratislave and Bergische Universität Wuppertal.