
Treesa Rose Kuttikkadan Sani
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Treesa Rose Kuttikkadan Sani
- Enabled EMI performance prediction by designing EMI filter circuits for traction inverter - Simplified optimization of passive components by developing innovative assessment method that unified cost and installation space evaluation into a single objective function and developed surrogate model with ML toolboxes for the same - Delivered comprehensive analytical foundation for system-level analysis by deriving the mathematical model of the complete EMI system including its source and its sink
- Streamlined data analysis process by leveraging Power Query - Leveraged OpenStreetMap (OSM) data with Python libraries like NetworkX and OSMnx to analyze geospatial road networks and implement network analysis algorithms - Conducted comprehensive Literature Review of 150+ academic and industry literature, synthesizing key findings and methodologies and documenting insights. - Generated traffic insights by collecting data through camera based traffic measurement devices and determined key traffic metrics
- 1 Jahr und 5 Monate, März 2023 - Juli 2024
Hardware in Loop Engineer
Daimler Truck Innovation Center India
- Validated 12+ vehicle features for North American Trucks by developing and automating HiL test cases - Improved in-vehicle network testing and fault diagnosis by working with CAN, CAN FD, LIN, and Ethernet protocols alongside ECU diagnostics - Streamlined decision making across engineering teams by moderating cross-functional sign-off meetings across 3+ stakeholder groups - Managed procurement of project licenses and software tools - Accelerated onboarding for new team members
- 8 Monate, Juli 2022 - Feb. 2023
Graduate Engineer
Daimler Truck Innovation Center India
Ausbildung von Treesa Rose Kuttikkadan Sani
- Bis heute 2 Jahre und 1 Monat, seit Sep. 2024
Electrical Engineering and IT
Hochschule Darmstadt
- 3 Jahre und 11 Monate, Juli 2018 - Mai 2022
Electrical and Electronics Engineering
Cochin University of Science & Technology
Sprachen
Deutsch
B1-B2 (Gute Kenntnisse)
Englisch
C1 (Fließend)
Malayalam
C2 (Verhandlungssicher / Muttersprachlich)
Hindi
C1 (Fließend)
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