About Saber
French
Native or bilingual
English
Fluent
Experience
- ServierAnalytics Engineer / Expert SAS - R - Data SciencePHARMACEUTICALS INDUSTRYNovember 2022 - December 2025 (3 years and 1 month)Paris, France
- Implemented CI/CD solutions on GCP in collaboration with DataOps.
- Developed robust data pipelines using Argo, GKE, BigQuery, and GCS.
- Provided technical leadership for multidisciplinary teams using SAS, Posit.
- Resolved complex data ingestion issues in cloud environments.
- Utilized Terraform for resource provisioning.
- Integrated GxP-compliant regulatory software into automated CI/CD workflows.
- Optimized data ingestion pipelines to improve performance and reliability.
- Developed interactive data visualization applications with Shiny R and Python.
- Developed SAS macros for enterprise data ingestions.
- EDFSenior Data Scientist - Expert RENERGY AND UTILITIESDecember 2020 - December 2021 (1 year)Nanterre, France• Monitored R and Python for the entire machine cluster.• Scraped unstructured data using Python (pandas, string, etc.).• Created dashboards with Shiny R, Python Flask, Streamlit, etc.• Supported business teams and data analysts in implementing their data science projects.• Created dashboards using Tableau.• Administered Tableau and contributed to setting up a Tableau monitoring system with Python. Technical Stack: Python, Rstudio, Gitlab, Excel, PostgreSQL, Tableau, Ansible, Jira.
- La Banque PostaleBanking Regulatory Consultant - SASBANKING AND INSURANCEJanuary 2019 - January 2020 (1 year)Issy-les-Moulineaux, France• Designed and developed programs for accounting-management reconciliation for the factoring product PRO, using SAS macros and SQL.• Produced the tactical accounting-management reconciliation solution for LBP Corporate Loans products (Factoring, Leasing of Movable and Immovable Assets, Medium-Long Term Loans) with SAS and Python.• Validated the consolidated risk database and the rating score.• Calculated cash flow variations using SAS.• Participated in the testing of the target accounting-management reconciliation and discrepancy allocation solution.• Supported business units during the go-live phase.Technical Stack: SAS 9.4, SQL, SAS Enterprise Guide, Python, Excel, SQL
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Education
- Engineer in StatisticsESSAIT2013Ingénieur en statistiques