A. C . I did not really envisioned myself as a data scientist. I studied industrial engineering, which is quite a multidisciplinary degree, in which all the fundamental sciences (math, physics, chemistry) are covered as well as the specifics of many technical fields: electric/thermal machines, environmental sciences, logistics, manufacturing processes, etc. as well as business administration. I learnt a lot about industrial processes, how they can be optimized and the implications for the business.
Then I did my PhD in Robotics and Automation, in which I did lots of coding, developing algorithms for intelligent systems while taking some courses on machine learning and optimization. My PhD enhanced my training in data science and has turned out to be very valuable, as it helped me develop a critical thinking skills based on the use of scientific methodologies.