Hong-Hanh NGUYEN

Head of finance at Xperts Council at Xperts Council
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Contact Information
us****@****om
(386) 825-5501
Location
Montrouge, Île-de-France, France, FR
Languages
  • English Professional working proficiency
  • French Professional working proficiency
  • Vietnamese Native or bilingual proficiency

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Bio

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Credentials

  • Big Data - Programming
    IBM
    May, 2016
    - Nov, 2024
  • Big Data Foundations
    IBM
    May, 2016
    - Nov, 2024
  • Big Data Hadoop Foundations
    IBM
    May, 2016
    - Nov, 2024
  • Big Data Spark Foundations
    IBM
    May, 2016
    - Nov, 2024

Experience

    • France
    • Information Services
    • 1 - 100 Employee
    • Head of finance at Xperts Council
      • 2016 - Present

      Paris Area, France Xperts Council is a unique platform connecting Private Equities, Consulting Firms, and Investment Funds - as well as top Executives in many industries - with high level Experts for industry sector consultations. Xperts Council organizes consultation and longer term senior advisory projects with these experts to answer its clients' most critical questions before taking important decisions. www.xpertscouncil.com/en Paris Area, France Xperts Council is a unique platform connecting Private Equities, Consulting Firms, and Investment Funds - as well as top Executives in many industries - with high level Experts for industry sector consultations. Xperts Council organizes consultation and longer term senior advisory projects with these experts to answer its clients' most critical questions before taking important decisions. www.xpertscouncil.com/en

    • France
    • Banking
    • 700 & Above Employee
    • Ingénieur Data-scientist / Big Data
      • Oct 2015 - 2016

      Ingénieur Data-scientist / Big Data en alternance au sein d’ARC, pôle IT Production Services, Crédit Agricole CIB • Missions : o Extraction, uniformisation et structuration des données ITS (log Control-M) pour découvrir des corrélations entre applications et actifs de production ITS afin de compléter la CMDB ( l’application HEAT). o S’assurer de la maîtrise de la qualité des données tout au long de leurs traitements : tests et cohérence des données au sein de la plateforme Hadoop. o Analyses prédictives des incidents des serveurs, applications, produits, etc. pour trouver les impacts des actifs production sur les incidents afin de déterminer les priorités budgétaires du programme d’obsolescence. o Analyses les données métiers (Risque de marché MRi : taux d’échange, delta, DV01..) aves les modèles séries temporelles et prédictifs.. • Clé Technique : Hadoop, Pig, Hive, Sqoop, Spark, R, Python, Machine Learning, PostgreSQL, Unix Show less

Education

  • Université Paris-Saclay
    Master's degree, Informatics
    2015 - 2016
  • Université d'Evry-Val d'Essonne
    Master's degree, Finance, General
    2014 - 2015

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