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  • Kafi – Master Thesis bei Inwerken

Kafi – Master Thesis bei Inwerken

Firstly, I would like to introduce myself. My name is Kafi and I come from Bangladesh. I am currently doing my Masters Degree in Internet Technologies and Information Systems (ITIS) at Leibniz University. I love to work with new technologies and for this reason I was looking for a work placement where there are opportunities for new technology enthusiasts. I found a job opening in Xing Job Portal which was very interesting to me. I then submitted my application to Xing and that was the beginning of my journey to Inwerken AG.

Here at Inwerken, I have learned UI5, HANA cloud platform and working with IOT and this where I am currently doing my Masters thesis in IOT and Machine Learning using Hana Cloud Platform. The title of my thesis is „Predictive Maintenance“. I have chosen this topic because IOT and Machine Learning is one of the most popular researched areas as well as the „Industry 4.0“concept. During my time here, I have developed a machine learning model to predict production machine failure at a plant. This model could predict machine failure before it occurs with up to 99.20% accuracy.

I would like to recommend Inwerken AG to everybody who wants to work in challenging tasks and learning through practical work. The team leaders at Inwerken are very helpful and I have had enough flexibility and time to concentrate on my master studies.

Von | 2017-12-04T09:23:12+00:00 1. November 2017|Inwerken Inside, Wir bei Inwerken|