Reeshika Sundram

writes the final thesis.

Praktikum, Intern- Master Thesis Student, Schaeffler

Nürnberg, Deutschland

Fähigkeiten und Kenntnisse

Python
python 3.7
jupyter notebook
google collab
Honeywell unisim
Microsoft Dynamics NAV
Rapberrypi
PROFINET
Yededitor
MATLAB
Simulink
Raspberrypi
Microsoft Excel

Werdegang

Berufserfahrung von Reeshika Sundram

  • Bis heute 4 Jahre und 7 Monate, seit März 2020

    Intern- Master Thesis Student

    Schaeffler

    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

    Grundlagen

Interessen

Photography
Playing Guitar/music
Political Science
Painiting
Astronomy

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