Aslane Mortreau's Portfolio

Master of Biomedical Engineering/Health & Image Processing/AI

EPISEN, Creteil, France

Coursework: Bioinformatics, Data Science, Fluid Mechanics, Genomics, Genetics, Health Economics, Image Processing, Medical Imaging, Networks, OOP, Pharmacology, Physiology, Proteomics, Signal Processing: Bioinformatics, Data Science, Fluid Mechanics, Genomics, Genetics, Health Economics, Image Processing, Medical Imaging, Networks, OOP, Pharmacology, Physiology, Proteomics, Signal Processing

Summer Program

University of Michigan, Dearborn, Michigan

Coursework: Algorithms, Data Science/NLP, Web Developpement

Master of Computer Science & Data Science

ESIEA, Paris, France

Coursework: Data Science, Hardware, Networks, OOP, Signal Processing, Statistics

Bachelor of Science : Statistical Engineering

University of Nantes, Nantes, France

Coursework: Algebra, Calculus, Group Theory, Markov Chain, Probability, Python, Statistics

Data Research Engineer

2023 - Present

LVMH Recherche

• Led statistical analyses of in vivo cosmetic efficacy studies, including longitudinal modeling (linear mixed-effects models), time-to-event analysis (Kaplan-Meier, Cox regression), and post-hoc comparisons via estimated marginal means.
• Collaborated with clinical and regulatory teams to write and validate Statistical Analysis Plans (SAPs), handle missing data (MCAR/MAR), and ensure methodological alignment with claim validation and internal regulatory standards.
• Developed modular and reusable R Shiny applications for non-statisticians to conduct automated analyses and visualize results.
• Designed and implemented end-to-end automated statistical workflows (from raw clinical data to formatted tables/figures), reducing analysis turnaround time by >50%.
• Actively contributed to cross-functional innovation projects, including the development of an AI-driven molecular substitution engine using graph embeddings (metapath2vec) for sustainable formulation strategies.
• Tools and methods: R (lme4, survival, emmeans, Shiny), Python, Shiny, Docker, Google Cloud Platform, Git

Analytics Engineer

2022 - 2023

dFakto

• Built and maintained data pipelines to support decision-making for public sector and enterprise clients.
• Worked on data modeling, transformation, and integration using modern data stack tools (e.g., SQL, dbt).
• Contributed to dashboard development and data quality assurance processes.
• Collaborated with multidisciplinary teams to ensure reliable and actionable insights.

Junior Data Manager

2018 - 2019

LMP

• Responsible for inserting all new data into the main production database.
• Develops tools for data collection, cleaning, and automated insertion to ensure data quality, completeness, and freshness.
• Works within the Data Engineering team to maintain a zero-defect database for clients.

Intern

2018

French DoD

• A NDA has been signed.

Intern

2017

namR

• Responsible for inserting all new data into the main production database.