Hong-Hanh NGUYEN
Head of finance at Xperts Council at Xperts Council- Claim this Profile
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English Professional working proficiency
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French Professional working proficiency
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Vietnamese Native or bilingual proficiency
Topline Score
Bio
Credentials
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Big Data - Programming
IBMMay, 2016- Nov, 2024 -
Big Data Foundations
IBMMay, 2016- Nov, 2024 -
Big Data Hadoop Foundations
IBMMay, 2016- Nov, 2024 -
Big Data Spark Foundations
IBMMay, 2016- Nov, 2024
Experience
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Xperts Council
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France
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Information Services
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1 - 100 Employee
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Head of finance at Xperts Council
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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
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Crédit Agricole CIB
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France
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Banking
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700 & Above Employee
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Ingénieur Data-scientist / Big Data
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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
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Education
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Université Paris-Saclay
Master's degree, Informatics -
Université d'Evry-Val d'Essonne
Master's degree, Finance, General