Thesis work: Data Cleaning Tool

Within Volvo Group Trucks Technology, the engineers at “Powertrain Strategic Development” department create innovative powertrains for the future. To correctly define and size the components of the future powertrains, data analysis is needed. Luckily, truck manufacturers are getting more and more data. This also needs data cleaning and data cleaning tools.
The subject of the thesis work is to do a data cleaning tool. It should be runnable under Matlab. The tool should be “cooperative AI” in the sense of not only suggesting actions but also motivate the decision to let the user decide.
The idea of the process of the thesis is to:
  • Identify reasonable types of flaws
  • Make a tool finding the types of flaws
  • Present the suspected flaws to the user
  • Enable the user to accept or reject the found flaws
Requirements:
  • Bachelor or master degree
  • Knowledge in Machine Learning and AI
  • Knowledge in Linear Algebra
  • Taste for Data Analysis and Visualization
  • Skilled in Matlab
  • Curious and open mind
  • ​Fluent in English
Start Datum: 2020-01-05
Tutor
Sven Ahlinder. Data analyst. 073-9028760

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The Volvo Group is one of the world’s leading manufacturers of trucks, buses, construction equipment and marine and industrial engines under the leading brands Volvo, Renault Trucks, Mack, UD Trucks, Eicher, SDLG, Terex Trucks, Prevost, Nova Bus, UD Bus and Volvo Penta.

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