
Abiola Shittu
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Abiola Shittu
- Bis heute 3 Jahre und 2 Monate, seit Mai 2022ALTEN Germany
Project Engineer | ALTEN GmbH (Subcontractor for Airbus D&S)
- Conducted regulatory risk analysis for 9,000+ aircraft materials, ensuring compliance with EU/UK REACH, POPs, ODS, FGHGs, and RoHS standards. - Reduced compliance risk through material substitution and optimization of surface treatment processes for aerospace applications. - Developed a standard tracking template for suppliers, enabling real-time compliance monitoring and eco-design. - Optimized supply chain processes using SAP EHS, by improving quality and ensuring MSDS compliance for aircraft parts.
- 7 Monate, Okt. 2021 - Apr. 2022
Materials Specialist – R&D & Innovation | Master Project
Faurecia Clean Mobility, Augsburg
- Conducted failure analysis and material validation using advanced techniques (compression testing, thermal shock resistance, SEM-EDX) for automotive standard. - Designed custom test rigs to evaluate oxidation/corrosion resistance, optimizing surface treatments (anodizing, thermal) for extreme environments. - Developed high-performance coatings via tensile/fatigue testing, improving elasticity, yield strength, and cyclic life for automotive applications.
- 5 Monate, Juni 2021 - Okt. 2021
Engineering Intern | Faurecia Clean Mobility
Faurecia Emissions Control Technologies, Augsburg
- Supported material testing and validation for automotive applications, ensuring compliance with performance and durability standards. - Improved testing accuracy and material performance by analyzing coating integrity and insulation properties using adhesion testing, ferroxyl analysis, and NDT. - Conducted materials characterization and leveraged data-driven insights to enhance reliability and durability for high-stress automotive components.
- 7 Monate, Juni 2019 - Dez. 2019
Student Research Assistant | Institute für Informatik (EIHW)
University of Augsburg
- Used a joystick to label and organize large datasets for self-driving car training, ensuring the data was accurate and ready for machine learning models. - Worked with the team of engineers and data scientists to check data quality and correct errors, helping to improve how the self-driving systems 'learn' from the data. - Gained hands-on experience with big data analysis and annotation workflows, supporting the optimization of training datasets for advanced automotive technologies.
Ausbildung von Abiola Shittu
- Bis heute 6 Jahre und 3 Monate, seit Apr. 2019
Materials science
Uni-Augsburg
Sprachen
Deutsch
Gut
Englisch
Fließend
YORUBA
Muttersprache
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