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

Freelance Data Scientist

November 2025 — Present

L’Oréal Research & Innovation

• Conducted a full scientific and technical feasibility study for a strategic R&I initiative.
• Analyzed constraints, potential workflows, operational requirements, and scientific viability across research, data, and engineering dimensions.
• Identified risks, bottlenecks, data requirements, and dependencies for future implementation phases.
• Delivered structured recommendations to support go/no-go decision-making at the innovation leadership level.
• Skills: Scientific analysis, feasibility assessment, technical evaluation, R&D workflows.

Freelance R Shiny Developer

November 2025 - Present

Al-Gebrax

• Conduct statistical analyses for pharmaceutical and CMC studies, including stability, assay performance, and bioanalytical data workflows.
• Develop R Shiny applications to automate standardised analyses, generate PDF/Word statistical reports, and improve traceability.
• Implement reproducible pipelines, improve data quality monitoring, and support regulatory-driven analytics.
• Tools: R (Shiny, tidyverse, lme4), Docker, PK/CMC workflows.

Freelance Data Science & Bioinformatics Consultant

November 2025 - Present

Gencovery

• Develop Reflex bricks for life science workflows (PK-NCA, CDISC validation, molecular embeddings).
• Build demo applications and technical documentation to support client onboarding and showcase advanced analytical capabilities.
• Design generic pipelines for omics data exploration, clustering, differential expression, and interactive dashboards.
• Technologies: Python, Reflex, RDKit, Docker

Freelance DevOps & Data Engineer

July 2025 - Present

LeetCall AI

• Developed and maintained the backend infrastructure of an AI-powered outbound dialer platform, including call orchestration, real-time communication, and automation workflows.
• Designed and deployed distributed microservices using FastAPI, Docker, Supabase, RabbitMQ, and PostgreSQL.
• Implemented data pipelines and event-driven architectures to support call logs, summaries, lead qualification, and CRM synchronization.
• Optimized CI/CD pipelines, container orchestration, monitoring, and system reliability to ensure high availability.
• Collaborated with the AI/LLM team to integrate real-time call transcription, summarization, and automated decision workflows.
• Technologies: Python, FastAPI, Docker Compose, RabbitMQ, Supabase, PostgreSQL, WebRTC (LiveKit), CI/CD pipelines.

Freelance Automation Specialist

October 2024 - May 2025

Oltega

• Developed comprehensive automation solutions across various business functions including administrative processes, CRM management, and workflow optimization.
• Created custom Python scripts and integrations to streamline data processing and business operations.
• Implemented automation workflows using Make, Zapier, Monday.com, and HubSpot to reduce manual tasks and improve efficiency.
• Designed and deployed automated systems that enhanced productivity and reduced operational overhead for client teams.
• Collaborated with cross-functional teams to identify automation opportunities and deliver tailored solutions.
• Tools and technologies: Python, Make, Zapier, Monday.com, HubSpot, API integrations

Data Research Engineer

August 2023 - September 2025

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

September 2022 - August 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

September 2018 - January 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.