Data analysis has been fun for me since childhood. It started by checking if car registration numbers I saw during trips were divisible by 3, adding up the digits to pass time. My favorite game is Sudoku, where I love finding the answers from given numbers. I even enjoy analyzing keywords frequency in journal titles.

Data analysis has naturally been a part of my studies too, in languages for instance, I liked to deduce logical rules from given examples. The idea of enhancing and sharpening this skill through tech-tools, making me eligible for the job market and being able to make significant contributions to the AI wave, is truly exciting. I’m also thrilled about getting to understand and interact with world-defining principles through data.

I’ve had the opportunity to improve both my analytical thinking and reasoning in the national training for International Mathematics Olympiad, where I discovered combinatorial math, which focuses on transforming real life problems to mathematical ones, a field that I fell in love with.

I’ve also got light experience in Analyze SI which is a Modulation data software used among French-speaking “data communities”, which applies the Merise method to then generate the SQL script for the database creation, and I’m thrilled to discover all the more developed methods.