My educational background:
I hold a license degree in Theoretical Physics and a Masters Degree in Astrophysics (“Statistical Analysis of Astronomical data”) from Louis Pasteur University in France. In addition to the theoretical physics I have learned, I have acquired robust mathematical and IT knowledge.
I’ve been perfectly trained to extract insights from a vast amount of unstructured data, trained to find solutions from unknown problems, trained to base my work on solid assumptions, and trained to ask myself the right questions. Then came my field experience in IT consulting, bringing an important wheel in this data science machinery.
Where my passion for big data comes from:
I’ve always tried to move away from my comfort zone. Getting into big data is a bit like pushing at the boundaries of the atmosphere. It’s when you escape from the technical constraints that you discover a green space for D&A with endless possibilities. A bit like Copernicus, you somehow realize that RDBMS is not the center of our digital universe!
What is the most innovative or cool application of big data you have seen?
GDELT is the most fantastic open dataset I have been playing with. With a bit of time, a good skillset in big data, and lots of ideas, you can have fun mixing technologies around GIS, NLP and Graph Theory.
Tell us a bit about your life away from work:
Married, happy father of 2 girls (3 and 6), I’m spending most of my spare time with family, discovering new places across the UK. Although I’m still proud of my French cheese and red wine heritage, I’m getting more and more used to the English way of life (despite weather) with great beers, traditional Sunday roasts at the pub and Afternoon Tea.
What do your friends/family think about you being involved in the TEXATA competition?
They were initially making fun at me, thinking it was nothing more serious than a nerd game.. They all are really supportive now that I’m in finals
A piece of advice I live by:
Understand what the business team really wants, and not only what they say they want. Anticipate business requirements