The Data Engineering and Analysis team at Kognic is responsible for designing and implementing robust data pipelines that enable the effective processing and analysis of large datasets. They work collaboratively to develop machine learning models that enhance the performance of the Data Engine, ensuring vehicles can successfully pass vision tests. This team also focuses on delivering data insights that drive continuous improvement in Kognic's technology.
Andreas Falkovén
Data Scientist
Andreas Lindholm
Machine Learning Research Engi...
Elena Fotina
Data Engineer
Henrik Arnelid
Machine Learning Engineer
Jesper Jaxing
Data Engineer
Joel Tegman
Data Scientist
Jonatan Kallus
Machine Learning Research Engi...
Roshni Navinchandra
Data Scientist
Sara Thiringer
Data Scientist
Sofia Järbur
Data Delivery Manager
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