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Salma BenmoussaSB

Salma Benmoussa

Data Analyst / Data Engineer

€500/day
Paris, FR
0-2 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Salma

Data Analyst, I work on data analysis and enhancement to support performance management and decision-making. I am involved in the entire data lifecycle, from its preparation and structuring to its presentation in the form of reports and analyses. I use various tools, including SQL, Python, and data visualization solutions, to meet business needs concretely and effectively. Attentive to data quality and indicator reliability, I also contribute to the continuous improvement of data tools and processes.
  • French

    Native or bilingual

  • English

    Native or bilingual

  • Arabic

    Native or bilingual

Can work on-site
Paris (up to 50km)

Experience

  • GROUPE BPCE
    Data Analyst - Digital Payment Service
    BANKING AND INSURANCE
    July 2025 - Today (1 year and 1 month)
    Paris, France
    Development of an analytical tool for monitoring and benchmarking payment activities within the network.

    • Analysis and modeling of payment data (monetics, transactional flows).
    • Gathering business requirements and writing functional specifications.
    • Design and optimization of Power BI dashboards.
    • Automation of reporting and monitoring of commercial performance.
    • Implementation of data quality controls.
    • Power BI maintenance and support.

    Environment: SQL, BigQuery (GCP), Power BI.
  • Nexialog Consulting
    Data Engineer
    BANKING AND INSURANCE
    September 2024 - August 2025 (11 months)
    Paris, France
    Management of the development and automation of Open Damir data flows, and implementation of a health pricing tool.

    • Development and industrialization of Open DAMIR ETL pipelines, including automated data collection via web scraping, processing orchestration, anomaly management, and enrichment with INSEE data.
    • Design of an interactive visualization platform, integrating benchmarking modules (comparison of a client portfolio with national references), pricing, and health cost prediction.

    Environment: Python, Pyspark, FastAPI, React, PostgreSQL, Azure.
  • Nexialog Consulting
    Data Scientist
    March 2024 - August 2024 (5 months)
    Paris, France
    Development and optimization of machine learning model explainability tools applied to apartment sales data.

    • Optimization and comparison of clustering and anomaly detection models on this data.
    • Analysis of the limitations of LIME and PFI explainability methods and improvement of the stability of the explanations produced.
    • Writing comparative benchmarks and technical notes to guide methodological choices.

    Environment: Python, Scikit-learn, Pandas, Seaborn, Git, VsCode.

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Education

  • Master in Economic and Financial Statistical Modeling (MOSEF)
    Paris 1 Panthéon-Sorbonne University
    2025
    Master Modélisations Statistiques Economiques et Financières (MOSEF)
  • Bachelor's degree in Economics
    University of Cologne - ERASMUS
    2023
    Licence en Economie

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