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Christele RentschCR

Christele Rentsch

AI Automation| AI Workflows| Dataiku| n8n

On-demand
Sèvres, FR
15+ years

Average response time: 1 hour

Freelancer profile translated to English.
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About Christele

I have 15 years of professional experience in IT. I support your teams in data-oriented projects: data acquisition in a data lake, data ingestion (Cloud Azure) and consumption by third-party applications. I analyze and explore data to better leverage it. I manage, supervise and organize cross-functional and technical teams through industrialization projects. With curiosity, teamwork and autonomy, I am solution-oriented.
  • English

    Native or bilingual

  • French

    Native or bilingual

Can work on-site
Sèvres (up to 15km)

Experience

  • SAUR
    Data Science Project Manager
    ENERGY AND UTILITIES
    February 2021 - Today (5 years and 3 months)
    - Setting up the RFP for the choice of the Datalab: Dataiku

    - Creation of machine learning models for predicting water flow rates entering a treatment plant, for detecting pipeline criticality.

    - User training sessions for business users
    Dataiku Azure Linux Python
  • Heineken
    Project Manager: Datalab Steering
    WINE AND SPIRITS
    January 2020 - May 2020 (5 months)
    Rueil-Malmaison, France
    - Acquire data for the Data Lake

    - Set up the steering committee with all stakeholders: business, infrastructure, and sponsor

    - Organize the transition plan from project stage to RUN

    - Manage the migration from SAP BW to SAP BW/4HANA: group project

    - Support business users in using the new platform

    - Deploy the sales performance project

    - Supervise data science projects: POC on customer CHURN, sales forecasting
    Data science Big Data Datalake Project management Jupiter Amazon Web Services SAP
  • SAP FRANCE
    Data Scientist
    TECH
    January 2017 - July 2019 (2 years and 7 months)
    Paris, France
    - Implement anomaly detection algorithms and explanation benchmarking (REFOUT)

    - Understand and explain the deviating nature of abnormal values

    - Use statistical tests such as Welch, Kolmogorov to explain contrasts

    - Encapsulate native SAP HANA machine learning algorithms in R and Python

    - Deploy, expose, and consume SAP HANA ML libraries

    - Visualize large datasets

    - Provide technical support to data scientists during the data exploration phase

    - Empower data scientists to create and deploy virtual machines in Azure

    - Propose a conducive environment for model deployment and evaluation

    - Model algorithms (classification, logistic regression, etc.) based on SAP Predictive Analytics and Azure ML
    Microsoft Azure Data science Apache Spark MLlib Big Data Python R Project management SAP Business Objects SAP HANA

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Education

  • Data Sciences Certification
    Ecole Polytechnique Executive Education
    2018
  • Computer Engineering
    Ecole Polytechnique Universitaire Nice Sophia Antipolis
    2002

Certifications

  • Data scientist starter
    Ecole polytechnique Executive Education
    2018

Skill set

Categories