Reeshika Sundram
Praktikum, Intern- Master Thesis Student, Schaeffler
Nürnberg, Deutschland
Werdegang
Berufserfahrung von Reeshika Sundram
Evaluation of model identification algorithms on automated assembly and testing production lines. Development of a learning algorithm on python in the context of automated production systems, Use of Pandas, Numpy, NetworkX, Plotly, sns, scipy, ISO8061 libraries.Development of a learning algorithm on python in the context of automated production systems. Identification of deterministic, timed finite state automata with unsupervised learning techniques
Ausbildung von Reeshika Sundram
Bis heute 6 Jahre, seit Okt. 2018
M.eng Automation and Industrial IT
Technische Hochschule Köln
Numerical Methods, Modelling and Simulation of Continuous Systems, Modelling and Simulation of Discrete Event Systems,Data-driven Modelling and Model Optimization, Relational Databases, IT-Security - Management and Technologies, Industrial Security in Automation
Sprachen
Englisch
Fließend
Deutsch
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