Aslane Mortreau
Name: Aslane MORTREAU
Profile: Freelance Data & AI Specialist | Pharma/Cosmetics R&D
Email: aslane@mortreau.net
Phone: +33 6 27 66 05 07
About me
I'm Aslane Mortreau, a freelance data scientist specializing in the application of statistics, data, and AI to R&D challenges in the pharmaceutical and cosmetic industries.
I support R&D teams in analyzing complex data (longitudinal, efficacy trials, survival) and in structuring their data workflows, to deliver robust, interpretable, and decision-ready results.
Beyond analysis, I design custom analytical tools that automate statistical methods, improve reproducibility, and make advanced analyses accessible to non-expert teams.
My goal: save time for R&D, without compromising on scientific rigor.
Skills
- Python - Advanced (Data science, automation, APIs, PyTorch, pandas)
- R - Advanced (Biostatistics, mixed models, Shiny apps, ggplot2)
- SAS - Intermediate (Base, Macro)
- SQL - Intermediate (PostgreSQL, BigQuery)
- Statistical Methods - Mixed-effects models, ANOVA, Survival analysis, CDISC, Cox regression
- Data Engineering - Dagster, dbt, Docker, Data Vault, GCP
- Tools - Git, Airflow, Grafana
- Languages - French (native), English (fluent)
Resume
Education
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
Professional Experience
Freelance Data Scientist
November 2025 — January 2026
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 - November 2025
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.
Portfolio
- All
- Data Engineering
- Statistics
Testimonials
Contact
Call Me
+33 6 27 66 05 07
Email Me
aslane@mortreau.net