The Effective Data Scientist

By: Alexander Schacht and Paolo Eusebi
  • Summary

  • Do you want to boost your career as a data scientist? Our podcast helps you in achieving this by teaching you relevant knowledge about all the different aspects of becoming a more effective data scientist.
    Alexander Schacht
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Episodes
  • As a Statistician - Do You Take the Back Seat or Do You Drive Yourself? (Episode 24)
    Jan 25 2024
    In this podcast episode, we discuss an important part of leadership – proactive behaviour. Or simply put—drive! As a statistician, your day-to-day approach to this topic will build up to long-term success. We discuss various aspects of the drive including:
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    22 mins
  • On Building Your Own Company (Episode 23)
    Jan 11 2024
    In this episode, we’ll cover an amazing story by one of the best programmers and mentors I ever worked with - Shafi Chowdhury (www.shaficonsultancy.com). We’ll explore how it changed from being a freelance programmer only to building his company on the side. He had a great vision in mind, that drove him forward. You’ll also hear about his approach to teaching and mentoring – or in general helping people do their job better. His abundance mindset inspires me a lot. Shafi explains, why and how he made his own job redundant in his own company. Retention is a major cost driver and disrupts some companies a lot. You’ll learn how he manages to have nearly no turnover in his company and how is approach to recruiting and training new employees fits in to this. Further, we’ll cover how and why Shafi and his team regularly presenting at different conferences. We’ll especially go deeper on this presentation at the PSI conference in 2017 about an amazing tool to analyse and visualize data at the same time. His approach to delivering all this innovation is very unique. Finally, you’ll learn a lot about the leadership attitude that helped him grow his business fast into a medium-sized CRO with a very stable client base.
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    45 mins
  • Cluster Analysis (Episode 22)
    Dec 29 2023
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    33 mins

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