Data Science Without a Data Scientist: Why Automation is Awesome? – Mikhail Zhilkin

A real-life example of how data scientists can make themselves redundant, by automating the entire chain from receiving data from an external source all the way to a nice visualisation. No fancy technologies involved.


  • Mundane tasks take time & effort you don’t want to spend on them.
  • You can often automate complex processes using basic tools.
  • Multiple wins: save time & effort, make others less dependent on the data scientist, prevent human errors.

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