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Description

Hello! I'm Léo-Paul, a junior Data Scientist specializing in health data analysis.

🎯What I offer:

- Analysis and structuring of complex data

- Statistical and predictive modeling (Python, R)

- SQL queries and database management

- Power BI and Tableau dashboards

- Actionable visualizations for decision-making

🏥Specialty: Health Data

- Mastery of GDPR and confidentiality

- Experience in clinical data

- Work with multidisciplinary teams

📚Background:Master's in Health Data Intelligence

I am rigorous, curious, and I enjoy transforming data into concrete insights. Available for ad-hoc missions or specific projects.

Github:

Industry field of expertise

Languages

English
Fluent
French
Native or bilingual

Workplace preferences

Remote only

Primarily works remotely

CNRS
Data Analyst Intern / Bio-informatician
BIOTECH
January 2025 - July 2025 (6 months)
Strasbourg, France
Data Scientist/Bio-informatician Internship — CNRS, Strasbourg (6 months)

📊Main missions:

Functional analysis & scoping
- Understanding and structuring a complex analytical problem (massive biological data)
- Identifying business needs and required data
- Close collaboration with the scientific team to validate approaches

Data modeling
- Designing a database to structure and integrate multi-source data
- Creating SQL queries for data extraction and transformation
- Data quality assurance: cleaning, validation, and integrity control

Analytical development
- Implementing statistical analysis algorithms (Python)
- Modeling and calculating complex metrics (89% protein identity, 96.6% alignment coverage)
- Rigorous documentation of methodologies and results

Reporting & visualization
- Creating dashboards (Power BI, Tableau) to present results to researchers
- Producing synthetic and actionable reports for decision-making

Demonstrated abilities:
✅ Ability to translate a complex need into an analytical solution
✅ Mastery of data tools (Python, SQL, Power BI)
✅ Scientific rigor and documentation
✅ Communication with non-technical teams
✅ Autonomy and organization
Data Analysis Python Data visualisation SQL Predictive Modeling
Ministère de la Santé,
Operational Analyst
PUBLIC SECTOR
May 2024 - August 2024 (3 months)
Paris, France
📊Main missions:

Daily Reporting
- Daily creation of monitoring dashboards with key indicators for public decision-makers
- Structuring and presenting health data in an actionable format
- Meeting strict deadlines: high-quality deliverables every day

Inter-agency Coordination
- Communication with ARS, Santé Publique France, Hospitals
- Rapid information exchange between partners
- Operational support for coordinated health response

Organization & Rigor
- Autonomy in managing daily deliverables
- Strict adherence to deadlines and quality standards
- Responsibility for the accuracy of produced data

Demonstrated abilities:
✅ Creation of reliable reporting under time constraints
✅ Operational organization and responsiveness
✅ Communication with diverse teams
✅ Autonomy and responsibility
Data Quality Reporting Communication Data Governance Time Management

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Data Analysis for Management
London School of Economics and Political Science (LSE)
2025
Data Analysis for Management
Master's in Health Engineering
Health Data Intelligence Track, University of Strasbourg
2025
Master Ingénierie de la Santé

Check out Léo-Paul's education

Léo-Paul Brunel

Data analyst

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