Description

J'aide les organisations à transformer des données complexes en solutions claires, fiables et directement exploitables pour la prise de décision.

En tant que Consultante Data & IA, je conçois et développe des solutions analytiques de bout en bout : de la modélisation des données et du développement SQL à la création de tableaux de bord Power BI et de solutions de Machine Learning.

Mon expérience en Healthcare et en Supply Chain Analytics me permet de comprendre les enjeux métier avant de concevoir des solutions techniques adaptées.

Mes domaines d'expertise:

Power BI

SQL

Python

Modélisation de données

Machine Learning

Conception de dashboards

Streamlit

J'aime construire des solutions Data complètes, à la fois robustes sur le plan technique, intuitives pour les utilisateurs et conçues pour faciliter une prise de décision plus rapide et plus efficace.

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Remote only

Primarily works remotely

Tamer Healthcare (TAAM)
Data Scientist (Clinical & Healthcare Supply Chain)
April 2025 - Today (1 year and 4 months)
Riyadh Saudi Arabia
• • Deliver end-to-end analytics to support Clinical and healthcare supply chain decision-making for major clients including Health Holding Company (HHC) and King Faisal Specialist Hospital & Research Centre (KFSHRC).
• • Develop data-driven inventory and procurement analyses (consumption patterns, stock risks, order recommendations) to improve operational visibility and performance.
• • Build Streamlit applications to automate reporting workflows and enable faster, self-service insights for stakeholders.
• • Design Power BI dashboards to monitor Clinical and supply chain KPIs and communicate performance trends to business and operational teams.
• • Develop NLP-based matching and classification solutions to improve master data quality and reduce manual effort.
• • Prepare and present analytical results, project updates, and recommendations to cross-functional stakeholders, ensuring clarity and actionable outcomes
Braincell
Data Analyst
November 2024 - May 2025 (6 months)
Riyadh Saudi Arabia
• • Analyzed datasets and delivered structured reporting to support decision-making and operational performance.
• • Built dashboards and KPI tracking to monitor performance and highlight trends, risks, and improvement opportunities using FineBi
• • Performed data cleaning, validation, and standardization to improve reliability and usability across multiple sources.
• • Collaborated with stakeholders to translate business needs into actionable insights and clear analytical outputs
ICON plc (Clinical Research Organization)
Clinical Research Site Manager (Clinical Data & Quality Focus)
February 2022 - October 2023 (1 year and 8 months)
Paris, France
• • Ensured clinical data quality and integrity through continuous site monitoring and data reviews, in compliance with Good Clinical Practice (GCP) standards.
• • Reviewed Case Report Forms (CRFs) and source documentation to identify inconsistencies, missing data, and protocol deviations, ensuring accurate and reliable reporting.
• • Coordinated regulatory documentation submissions and follow-up with Ethics Committees (IRB/EC), ensuring completeness, traceability, and audit readiness.
• • Led site initiation, routine follow-up, and issue management activities to support correct study execution and timely resolution of queries.
• • Maintained structured documentation and clear stakeholder communication to support clean data collection and reliable study outcomes