Core major backed by a double MSc in Applied Mathematics (Mines Nancy) and Statistical Learning (Politecnico), with foundational studies in Quantitative Finance.

Designing and training predictive models using both traditional and modern algorithmic approaches.

Writing efficient, scalable, and optimized code for complex algorithms and software applications.

Extracting meaning, sentiment, and structural patterns from text data using computational linguistics.

Mentoring and explaining complex technical and mathematical concepts clearly to students and peers.

Applying rigorous statistical methods, stochastic processes, and probabilistic models to quantify uncertainty.

Analyzing strategic interactions, optimal decision-making, and mechanism design among rational agents.

Cleaning, analyzing, and extracting actionable insights from large-scale, complex datasets.

Applying mathematical and statistical modeling to financial markets and economic systems.

Proficient in Unix-based environments, shell scripting, and system administration for development.

Typesetting professional, publication-ready technical and scientific documents and research papers.

Statistical computing and data analysis, including modeling and visualization.

Numerical computing and simulation for applied mathematics and engineering problems.