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Franck FEURTEY

Paris

Electionsmunicipales 2026

RETROUVEZ GRATUITEMENTRésultat municipales à Versailles
Résultat municipales dans les Yvelines

En résumé

Using Python, R, Hive, Tableau or whatever will work to turn customer data (commercial, technical) into valuable actionable insights. Most of my efforts are spent extracting data from various sources, exploring it using visualizations, and demonstrating trends, correlations and patterns.

Strong interest in Japanese culture and language (JLPT 1, Master’s degree) + learning Chinese.

Mes compétences :
Tableau Software
Big Data
Machine Learning
Python
Hive
R

Entreprises

  • Orange - Data Scientist

    Paris 2014 - maintenant Main tasks, favorite tools:
    - data extraction and processing : SQL, text parsing, dataframe (R, Python Pandas)
    - data visualization (Tableau Software)
    - modeling, machine learning: R, Python scikit-learn

    Example of activities:
    - analysis of typical customer configurations (K-medoids unsupervised clustering)
    - rule-based data cleaning
    - correlating customer care and technical customer configuration data
    - extracting information from mobile call logs
    - thematic clustering of tweets

  • Orange - Software Development Project Manager, web and mobile

    Paris 2006 - 2013 Technical team coordination and project management.

    Project "Katoa"
    - Managed the development of backend components (Java) for a social networking service
    - Coordinated the development team following « Scrum » agile methodology

    Project "Widget Tools"
    - Managed the delivery of a development framework based on web technologies (HTML/js)
    - Extended the scope of the project to mobile applications : Android, iPhone, Symbian
    - Delivered applications for embedding on Orange mobile devices (over 200,000 users)

    Project "FI-Content"
    - ScumMaster for the development of a mobile town page service (Android)
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