PREDICTING THE REMAINING USEFUL LIFETIME OF LITHIUM BATTERIES USING MACHINE LEARNING – PAUL KITCHING
For this project, two machine learning regression models were used to create two web services, which are consumed by an
Read moreI have recently completed my BSc Computing at Teesside University, I am committed to a career involving programming. Strong specific and transferable skills gained from completing a year in industry as well as employment, academic and extra-curricular experience. I learned to program independently and increased these skills through studying at University. My third year project made use of Machine Learning to predict the remaining useful lifetime of batteries.
My main interest is in software development and my technical skills include: Machine Learning, C#, Java, Javascript, HTML5, CSS, .NET, SQL and Microservices.
During my work placement I used webforms and .NET Framework and through study I have also gained knowledge in MVC and .NET Core. I have also assisted the University at numerous events that aimed to teach Machine Learning; at the last event that I attended, I led a session teaching Machine Learning to college students.
I enjoy being creative in my spare time and particularly enjoy creative writing. I also program independently. Currently I am undertaking an online course that teaches game development using Unity, which makes use of problem solving skills and further develops my understanding of C#.
For this project, two machine learning regression models were used to create two web services, which are consumed by an
Read moreI have developed a machine learning package in Python, built around Cox regression and neural networks. It is able to
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