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Pauline OlivierPO

Pauline Olivier

Data Analyst | Data Scientist | Python, SQL, Viz

€450/day
Paris, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Pauline

I help you analyze and leverage your data to better understand your challenges, make informed decisions, and implement tools tailored to your needs.

Since 2015, I have worked on various projects in luxury, real estate, logistics, and music. I am involved in the entire data lifecycle: from data retrieval to making it available in the form of dashboards and decision support tools.

I work quickly, document my work, and ensure that my deliverables are understandable and useful for both business and technical teams.

Some examples of projects completed:

  • Analysis of stockouts in stores and their causes for a major French luxury house, with the implementation of a dashboard used by 100+ people.
  • Development and deployment of a decision support tool with a sampling rate recommendation model to help the quality control team of a major French luxury house perform targeted checks.
  • Development and deployment of a real estate valuation model using heterogeneous and open-source data for Crédit Foncier Immobilier.
  • Development of an Artificial Intelligence familiarization training for non-technical teams.

Tools mastered: Python, SQL, Tableau, Power BI, DBT, Snowflake, AWS, GCP, Dataiku.


  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Paris (up to 10km)

Experience

  • Ekino
    Data Analyst
    LUXURY GOODS
    October 2022 - September 2024 (1 year and 11 months)
    Pantin, France
    Analysis of stockouts for a selection of products worldwide and identification of root causes of stockouts, for the retail team of a major French luxury house

    Technologies : Python, SQL, Snowflake, and Power BI

    Project Scoping
    • Client needs gathering
    • Client data audit
    Stockout Analysis
    • Data transformation and cleaning with DBT
    • Complex analysis of business processes related to stockouts (Python and SQL)
    • Quantitative estimation of stockout costs and identification of their causes (Python and SQL)
    Creation of a PowerBI stockout analysis demonstrator
    • Facilitation of analysis dashboard design workshops with the UX team
    • Writing technical specifications for the analysis dashboard
  • Ekino
    Data Analyst / Data Scientist
    LUXURY GOODS
    August 2020 - July 2022 (1 year and 11 months)
    Levallois-Perret, France
    Creation and maintenance of a targeted sampling rate recommendation tool for the quality control team of a major French luxury house

    Technologies : Python, SQL, Snowflake, AWS, and Tableau

    Project Scoping
    • Collaboration with a Consultant for client needs gathering
    • Client data audit
    Development of data extraction and transformation processes
    • Collaboration with a Data Engineer for data model creation
    • Collaboration with a Data Engineer for database creation in Snowflake
    • Collaboration with a Data Engineer for the creation of SQL data transformation scripts
    Development of the recommendation algorithm
    • Writing technical specifications for the algorithm
    • Development in Python of a Bayesian inference algorithm to estimate sampling rates
    Tool Development
    • Facilitation of tool design workshops with the UX team
    • Development of a Tableau tool comprising 5 reporting tabs, 4 configuration tabs, and 1 recommendation tab
    • Tool acceptance testing
    • Collaboration with a Consultant for user training on tool usage
    Application Maintenance
    • Addition of a reporting tab to the dashboard
    • Addition of business rules to enrich rate recommendations
    • Improvement of the data transformation process
    Tool in production and used since 2021
  • Ekino
    Data Scientist
    REAL ESTATE
    December 2017 - December 2019 (2 years)
    Paris, France
    Development of a real estate valuation algorithm for Crédit Foncier Immobilier to perform property-by-property or portfolio valuations based on 3 inputs: property type, size, and location

    Technologies : Python (XGBoost), DBT, GCP, and Tableau

    Project Scoping
    • Client data audit
    • State-of-the-art review of real estate valuation models
    Model Development
    • Testing of several algorithms (XGBoost, Random Forest)
    • Feature Engineering
    • Collaboration with a Data Engineer for model deployment on GCP
    • Collaboration with a Data Engineer for automating model retraining
    • Development of an analysis and monitoring dashboard for model results to detect data drift
    • Mentoring an intern for model improvement
    Modification of the data source and ETL
    • Replacement of client data with open-source data (DVF)
    • Analysis of new data and comparison with client data
    • Development of a Python script for data retrieval and raw data storage in GCS
    • Data transformation and cleaning with DBT to replace Airflow
    • Use of BigQuery as DataWarehouse

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Education

  • Master's in Mathematical Engineering, Statistics Option,
    University of Nantes
    2014
    Master Ingénierie Mathématiques Option Statistique,
  • Bachelor's in Mathematics,
    University of Nantes
    Licence de Mathématiques,

Skill set

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