
Master of Engineering
∙ Data Science, Markets, Organizations & Strategies.
∙ Specialized in Machine Learning and Artificial Intelligence.
∙ Selected for a double degree program.
I'm particularly keen on its applications in economics and finance.
Below you can find more about me and some of the projects I have worked on.
∙ Data Science, Markets, Organizations & Strategies.
∙ Specialized in Machine Learning and Artificial Intelligence.
∙ Selected for a double degree program.
∙ Specialized in Artificial Intelligence & Data Analytics.
∙ Developed a strong foundation in data structures, algorithm and software engineering.
∙ Built a dataset for legal code generation by collecting online Catala code.
∙ Defined specific evaluation metrics for the Catala programming language (e.g., CodeBleu,
Tree-Edit distance).
∙ Evaluated legal code generation performance across different LLM families (e.g., Llama, Phi)
using custom metrics.
∙ Created a parser to extract the information required to create a network from an ONNX
file.
∙ Implemented a subset of ONNX operations.
∙ Used Rust libraries for efficient parallel execution of an ONNX model.
∙ Scraped approximately 230,000 products from 18 stores across 10 regions in France using
Beautiful Soup and Python Requests.
∙ Analyzed the correlation between regional wages and product prices (across all categories and
subcategories), leading to insights that could inform
pricing strategies based on regional economic conditions.
∙ Conducted a brief analysis of the Nutri‑Score.
∙ Trained CNNs with intentional faults, improving error tolerance.
∙ Used fault injection to enhance CNN accuracy during training.