Our guest today is Marijn Markus, Managing Data Scientist at Capgemini. 

In our conversation, we first talk about data analysis to model and visualise the spread of Ebola. We then dig into crime analysis back to when Marijn worked with the police in the Netherlands. Marijn also shares his thoughts on the importance of causal inference and the value that humans can add to AI algorithms. 

We then explore machine learning applied to the consulting sector and discuss the pros and cons of working as a Data Scientist in a consulting firm. Marijn talks about project FARM and explains how he helped farmers across the world using AI and Big Data. He then finally shares advice on how to have an impact on our world and progress in your career.

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Follow Marijn on LinkedIn: https://www.linkedin.com/in/marijnmarkus/

Follow Neil on LinkedIn: https://www.linkedin.com/in/leiserneil/  

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(00:00) : Intro

(02:16) : Modelling the spread of Ebola

(10:47) : Crime analysis 

(20:20) : Causal Inference

(27:24) : Diversity

(32:19) : AI in consulting

(39:54) : project FARM

(51:27) : Making the world a better place with data

(01:00:15) : Career advice