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Student Spotlight – Meet Yassine El Khattabi ’18
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Yassine El Khattabi discusses his experience at DSTI as a student in the Applied MSc in Data Science & Artificial Intelligence programme and what shaped his interest in this field.
Hometown: Mohammedia, Morocco
Background: I got my Engineering Degree at Centrale Supelec in Paris and worked 4 years as a Project Manager in the Energy Field.
Why did you choose DSTI?
I chose the Applied MSc in Data Science programme because I believe that data science can help to match the energy production and consumption by predicting consumer behaviors for example. Also, the means of production are becoming more and more decentralized, which requires an advanced way of electricity grid management and data science can help with this task.
How would you describe your experience at DSTI so far?
Here are the 3 key points that I enjoy:
Classes are given only 6 months and that the programme is well designed. The purpose of the courses goes beyond knowing a set of methods and algorithms related to Machine Learning. Therefore, it intends to give us a real understanding of the foundations of mathematics behind Data Science as well as solid basis in software engineering and data technologies. Moreover, the courses are delivered by real experts in their respective domains . So far, we have covered the main foundations and I am excited for the rest of the programme where we will focus more on projects related to real life problematics.
There is an international environment and the cohort is full of people from all over the world with very different professional backgrounds! Everyone has a story to tell, we learn so much from each other.
The campus of Paris is my second home and I consider the staff as my second family. Even if the city has cold winter days, Paris is a very nice.
How do you think your studies at DSTI will shape your future professional pursuits?
My purpose of joining DSTI is to make a career shift towards Data Science, and DSTI is helping me make the first steps on this path. With a combination of strong tools and a clear insight into the large spectrum of Data Science applications in the industry, I believe I will be well armed to pursue my career in any field I want.