Harihara Rajan Ramaswamy
Bis 2022, Research Assistant, Fraunhofer-Institut für Windenergiesysteme IWES
Bremerhaven, Deutschland
Über mich
Self-motivated, technically-thorough engineering student with excellent problem solving skills using a methodical analysis to derive an optimal solution. A programming enthusiastic candidate with experience in coding complex material science and finite element problems. I am looking for a challenging opportunity to hone my programming skills and to apply the knowledge gained through my course-work , constantly learn and contribute to the organization.
Werdegang
Berufserfahrung von Harihara Rajan Ramaswamy
1 Jahr und 4 Monate, Sep. 2021 - Dez. 2022
Research Assistant
Fraunhofer-Institut für Windenergiesysteme IWESAs a Machine Learning Student Researcher at Fraunhofer Institute for Wind Energy System, I developed and deployed advanced machine learning models to monitor the structural integrity of wind turbine components. In this role, I successfully developed and deployed implementation of active learning strategies in tandem with advanced supervised learning models like gaussian process regression, artificial neural networks, support vector regression.
8 Monate, Okt. 2016 - Mai 2017
Student Intern
BMW India
Ausbildung von Harihara Rajan Ramaswamy
3 Jahre und 3 Monate, Okt. 2019 - Dez. 2022
Computational Material Science
Technische Universität Bergakademie Freiberg
3 Jahre und 9 Monate, Aug. 2013 - Apr. 2017
Mechanical Engineering
Anna University, Chennai
Sprachen
Deutsch
Gut
Englisch
Fließend
Tamil
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