My interest in data science first surfaced as a graduate student at MIT, during the preprocessing of sensor data from experiments I conducted on ships at the Towing Tank laboratory around 2014. Although at that time I was not formally introduced to data science as it is today, the analyses I did then were essentially time-series analyses. Perhaps because the focus was more on scientifically investigating the performance of offshore structures and ships in ocaean waves, I did not realize how much of the fundamentals of data science I have built capacity in already. This really helped smoothen my journey in formalizing my data science skills when I started taking courses in Udemy and Cousera. For example, I wrote several programs for data processing and analysis in MATLAB for about 5 years, which made it relatively easy for me to learn Python.

Hadi Ganjineh is Head of IT, Integrated Tech & Innovation at Super Energy Corp. focused on leading-edge digital business, tech & innovation. We use energy in many different ways in our lives, be it for lighting up our houses, running electronic appliances or as fuel in our vehicles. There are mainly two types of energy: renewable energy and non-renewable energy. Non-renewable energy includes fossil fuels like natural gas, petroleum and coal. However, these energy sources come from nature itself; it is impossible to renew them quickly.

Almost three years ago, Bill Gates wrote an open letter to the graduating class of 2017 and it's still very relevant today. He offered advice for those looking to make a big impact in the world, and three fields they should consider: artificial intelligence, energy and biosciences. We have only begun to tap into all the ways it will make people's lives more productive and creative. The second is energy, because making it clean, affordable, and reliable will be essential for fighting poverty and climate change. The third is the biosciences, which are ripe with opportunities to help people live longer, healthier lives."