About

I'm a Business & Data student at Albert School (Paris), currently completing my Bachelor's Degree and admitted to the joint MSc Data and AI for Business at Mines Paris – PSL. I'm passionate about mathematics, data science, philosophy, cinema, and photography — always eager to tackle complex, real-world problems at the intersection of AI and business.

Beyond data, I've spent 11 years practicing drama at the prestigious Cours Florent in Paris, which has shaped my communication style, public speaking confidence, and creative thinking. I also enjoy writing — I've contributed to a YouTube channel that reached over 1.5M views on a single video.

Sports are a big part of my life: I practice gym, climbing, diving, and boxing. I see sport as a constant reminder to push your limits and grow. I'm also a photography enthusiast, comfortable with Lightroom, Photoshop, and Premiere Pro.

MSc Data and AI for Business — Mines Paris – PSL & Albert School (2026–2028, Admitted)
Deep Learning, RAG & Agentic Systems, LLM Ops, NLP, MLOps, Advanced Cloud Computing, Digital Marketing & Sales.

Bachelor's Degree in Business and Data — Albert School, Paris (2023–2026)
Major: Data Science & Mathematics. Minor: Marketing, Strategy, Economics, Finance.
Winner of the web scraping event at the French Ministry of Defense Hackathon IADATAHACK2024.

Board Game Arena (BGA) — Data Science Intern (06/2025–11/2025)
Applied advanced ML to 200M+ rows of gameplay data. Built a game network using graph theory and cosine similarity, segmented players with hierarchical clustering and GMM, and designed a full recommender system. Created a Power BI dashboard to visualize customer activity and revenue.

Ministry of Defense, France — AI Project Support (05/2024–07/2024)
Fine-tuned and evaluated an internal AI model. Built and maintained internal databases, and collected large datasets via web scraping (Selenium, Scrapy).

Business Deep Dives — Data Science & Analytics Projects (2023–2026)
Worked with BCG, LVMH, CMA CGM, Jellyfish, Henkel, Asmodee, and Edmond de Rothschild on real-world challenges: sales prediction, recommendation systems, graph-based routing, financial forecasting, and digital marketing campaigns.

Data Science & ML: Python (Pandas, NumPy, scikit-learn, PyTorch), supervised & unsupervised learning, recommendation systems, feature engineering, graph algorithms (NetworkX), NLP, RAG pipelines, agentic systems.

Data & BI: SQL, Power BI, Excel, EDA, KPI design, data visualization (Matplotlib, Plotly, Folium, Pyvis).

Web & Scraping: Selenium, Scrapy, BeautifulSoup, JavaScript.

Creative & Design: Adobe Lightroom, Photoshop, Premiere Pro, Canva.

Finance: P&L, Balance Sheet, Cash Flow statements. Asset valuation and volatility. Market basics (equities, bonds, options).

Languages: French (Native), English (Fluent, C1), Spanish (Intermediate, B2), Japanese (Basic, N4).