Description

I design, build, and lead data-driven solutions that sharpen market intelligence, streamline commercial operations, and satisfy the strictest life-science regulations. Backed by 10+ years’ experience across data engineering, advanced analytics, and full-stack development, I translate business goals into measurable results faster and in full compliance.

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent
Spanish
Fluent

Workplace preferences

Can work on-site

Nantes (up to 50km)

Indépendant
Healthcare data manager
PHARMACEUTICALS INDUSTRY
June 2024 - Today (2 years)
Core Competencies
. Data Architecture & Engineering – MySQL, PostgreSQL, Python ETL, REST APIs

Analytics & AI
. pandas, scikit-learn, LLMs (OpenAI), NLP keyword extraction, automated insight generation

Full-Stack Development
. React, JavaScript ES6+, PHP, HTML5/CSS3, Nginx

Governance & Compliance
. GxP, GDPR, Swissmedic/EMA audits, data catalogues, role-based access

Project Leadership
. Agile/Scrum, product road-mapping, budget & KPI ownership, team mentoring
Data science Business intelligence MySQL Fullstack Data architecture
iQone Healthcare Switzerland
Data manager
PHARMACEUTICALS INDUSTRY
June 2024 - Today (2 years)
Versoix, GE, Switzerland
MySQL Data Infrastructure

• Design, optimise, and secure commercial-data schemas.
• Automate backup/restore and integrity checks to meet GxP & GDPR.
• Script role-based access control and performance monitoring for 24-7 availability.

Commercial Analytics & Reporting

• Develop Python pipelines (pandas, NumPy, Matplotlib) and Excel/VBA automations that track market share, sales volumes, and field-visit activity.
• Deliver forecasting models and dynamic KPI scorecards.

AI-Driven Development & Content Creation

• Leverage large-language models (OpenAI, Copilot) to accelerate front-/back-end coding.
• Auto-generate data stories, multilingual manuals, and training decks, halving documentation time.

Enterprise Intranet & Web Apps

• Architect and maintain a responsive intranet (React, JavaScript ES6+, PHP, HTML5, CSS3, MySQL) deployed on a dedicated VM behind nginx.
• Key modules:
– Real-time sales-performance dashboards.
– Employee time-tracking and workload visualisation.
– Contract lifecycle management with multi-step validation and database sync.
– Medical-information contact tracker logging HCP enquiries and ensuring Swissmedic compliance.
– Scientific-literature mining tools that harvest journals, extract keywords with AI, and alert stakeholders.

Automation & Efficiency

• Python micro-services pull external datasets (IMS feeds, competitor pricing) and cleanse/ingest them automatically.
• CLI & web utilities scan journals daily, emailing keyword-matched digests and saving ~10 h/month.

User Enablement

• Design and deliver workshops, and quick-start guides.
• Run office-hours support and incorporate feedback into the roadmap.

DevOps & Governance

• Integrate CI/CD, AI-assisted code reviews, unit tests, and linting to harden releases.
• Define data-governance standards that simplify audits and keep a single source of truth.
Ospharm
Head of Data Science
PHARMACEUTICALS INDUSTRY
November 2015 - June 2024 (8 years and 7 months)
Nantes, France
Data-Service Leadership

. Directed a cross-functional team (analysts, engineers, support) responsible for ingesting, cleaning, and enriching daily sell-out data from more than ten thousand pharmacies nationwide.

Commercial & Client Relations

. Acted as primary commercial contact for independent pharmacies, buying groups, and pharmaceutical laboratories; negotiated scope, pricing, and data-licence terms.
. Built long-term partnerships that grew recurring analytics revenue.

Advanced Market Analytics

. Delivered pricing, growth, and commercial-performance studies that guided shelf-price strategy, promotional ROI, and category management for client pharmacies.
. Introduced predictive models (sales-lift, churn-risk) and dynamic benchmarking dashboards.

Product & Requirements Management

. Translated client business questions into detailed specifications; orchestrated sprints with engineering to release new data products on time and within budget.
.Launched a self-service portal enabling stakeholders to query SKU-level data.

Customer-Success Oversight

. Established a dedicated support desk, SLAs, and knowledge base.