Hello there! Welcome on my website
I’m Guillaume Gilles, a data analyst at Banque de France and an adjunct professor at both INSEEC and ESSCA. With a passion for machine learning, I dive deep into how algorithms can be harnessed to tackle real-world challenges, and I thrive in every phase of the machine learning lifecycle—from data preparation to modeling, and ultimately translating insights to stakeholders in ways that drive decision-making.
My academic background spans economics, finance, and computer science, and my journey from financial analyst to data scientist has been fueled by a constant drive to learn and adapt. Since making the switch to data science in 2020, I’ve focused on building expertise in both foundational and cutting-edge methods in the field.
Outside of work, I’m dedicated to being a husband, father to a young son, and caretaker of a Maine Coon cat named Othello—affectionately known as “skekCoon,” a playful nod to his Skeksis -like appearance.
I’m building this space with the philosophy of a “digital garden.” The idea originated in 1998 when Mark Bernstein introduced the concept of a “hypertext garden,” advocating for online spaces that invite curiosity and encourage exploration at one’s own pace. Unlike traditional blogs, which feature polished articles arranged in reverse chronological order, digital gardens are dynamic and evolving—more like open wikis. Here, ideas grow, change, and develop over time, reflecting an ongoing journey of learning and sharing.
Colophon
In publishing, a colophon (/ˈkɒləfən, -fɒn/) is a short statement providing details about a book’s publication—typically including the imprint, which covers the place of publication, the publisher, and the date. Colophons may also feature a printer or publisher’s logo. Traditionally, colophons appear at the end of books, though in many modern works (post-1800), this information has moved to the title page or the verso of the title leaf, also known as the copyright or biblio page.
This website is built with Quarto and hosted on GitHub Pages. My primary tool is Positron, a VSCode fork tailored for data science, developed by the talented team at Posit—the creators of Quarto.