Freelancer profile translated to English.
Back to original languageAbout Aslane
I support health, pharmaceutical, cosmetic, and tech companies in structuring, analyzing, and automating their data to transform complex data into operational and measurable decision-making levers.
My expertise lies at the intersection of data science, data engineering, and AI applied to R&D, with a strong ability to understand business challenges, field constraints, and quality requirements.
Key Expertise:
- Product Data analysis & analytics (SQL, Python, R)
- Decision dashboards & data visualization
- Data & AI workflow automation (ETL, reporting, monitoring, data quality, validation)
- Development of custom data tools (Shiny, Streamlit, Dash, APIs, CLI)
- Statistics applied to R&D and experimentation (longitudinal analyses, advanced models, evaluation methods)
Added Value:
- Business and decision-oriented data vision
- Reliable, maintainable, and documented solutions
- Ability to work with Product, R&D, Innovation, and Tech teams
- Pragmatic approach focused on ROI and field adoption
I undertake both short missions (data audit, scoping, POC, targeted automation) and long-term support, as an integrated freelance Data Scientist.
Available for Data Science, AI, Analytics, and data automation missions. Let's talk about your context and challenges.
French
Native or bilingual
English
Native or bilingual
Can work on-site
Paris (up to 50km)
Experience
- L'OréalFreelance Data ScientistRESEARCHNovember 2025 - January 2026 (2 months)Paris, France– Conducted a scientific and technical feasibility study for a strategic R&Iinitiative.– Analyzed constraints, potential workflows, operational requirements andscientific viability.– Identified risks, bottlenecks and data dependencies for future implementation.– Delivered structured recommendations supporting go/no-go decision-making.– Skills: Scientific analysis, feasibility assessment, R&D workflows
- AL-GEBRAXR Shiny DeveloperPHARMACEUTICALS INDUSTRYNovember 2025 - Today (7 months)– Built full custom R Shiny analytical applications used for internal mathematicaland engineering workflows.– Developed reusable Shiny modules, optimized reactivity and performance, andintegrated data engineering components.– Delivered advanced visualizations and automated statistical routines to supporttechnical decision-making.– Skills: R Shiny, data engineering, dashboarding, modular app design.
- GencoveryCertified Partner & Scientific Software DeveloperPHARMACEUTICALS INDUSTRYNovember 2025 - Today (7 months)– Developed Constellab bricks (R, Python) to automate complex scientificanalyses including non-compartmental PK, predictive toxicology, omicsworkflows, mixed models, QSAR and read-across computations.– Built modular, reproducible and validated workflows for R&D teams, with fulldata traceability and scientific versioning.– Designed interactive scientific applications using Reflex and Streamlit todemocratize access to advanced analytics.– Integrated LLM-based copilots for automated result interpretation,summarization and decision support.– Collaborated with industrial and academic labs to industrialize cutting-edgescientific methodologies.– Skills: R, Python, Reflex, PK/PD, toxicology, workflow automation.
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Education
- Biomedical and Health EngineerEPISEN2024
- Engineering Degree, Data Science and Artificial IntelligenceESIEA - SCHOOL OF ENGINEERS FOR A USEFUL DIGITAL WORLD2023Diplôme d'ingénieur, Data Science et Intelligence Artificielle