A data engineer with a finance mindset — working where rigorous engineering meets the decisions people actually make.
I'm a final-stage engineering student at ISEP and a Business Intelligence Engineer at Société Générale, where I help build and maintain a data platform used by more than 20,000 people every day.
My work turns high-volume, messy data into systems teams and leadership trust. Alongside it, I'm sharpening my finance edge — including a fintech summer program at HEC Paris — and researching quantitative finance through my own projects.
Academic focus on data-driven systems, analytics and applied computing.
An intensive program exploring financial technology — bridging finance, data and emerging tech.
Applied analytics and problem-solving in a fully international environment — average 16.81/20.
Research quantifying how markets react to unstructured signals — turning noise, news and rumor into measurable, model-ready inputs. Personal · Ongoing — Python, Quant, Signal modeling
Represented Junior ISEP at the national final at La Défense, presenting our AI work among France's leading junior enterprises. Finalist · 2025 — AI, Pitch
Built during my work-study program (alternance) at Société Générale — consolidated performance indicators delivered daily to operational teams and senior management. Société Générale — 20,000+ users
An AI assistant centralizing knowledge, dialoguing with the ERP and automating proposals, events and reminders — interconnecting 15 tools across 10 processes. Junior ISEP — AI agents, Automation
A deep-learning classifier trained on 6,000+ images — synthesizing masked faces with MaskTheFace and augmentation — reaching ~96% training accuracy. Hanyang · 2024 — Deep learning, Computer vision
Open to opportunities and collaborations in data engineering, business intelligence and quantitative finance.