Aerospace systems generate large volumes of telemetry and test data. While JMP can help with data access, the main challenge is extracting clear engineering insight to make confident decisions.
This session introduces a practical approach to move beyond signal monitoring and toward understanding how systems behave – including when that behavior changes – and what it means for performance and risk through data modeling.
About the presenter
Kemal Oflus, Principal Systems Engineer
Kemal Oflus is a Principal Systems Engineer for JMP Statistical Discovery, which creates interactive and highly visual statistical discovery software designed for scientists and engineers. He supports sales and customer development in the Southwest region of the U.S. as technical lead.
An applied physicist by training, Oflus previously worked as a rocket scientist using statistical methods to support risk assessment on the design and simulation of several projects for NASA and U.S. Air Force. He is a member of the American Society for Quality and the American Statistical Association. Oflus regularly delivers talks and keynotes on data mining and predictive modeling; he also teaches data science at the University of California Riverside as a part-time lecturer.
