Hugo FERNANDEZ

Senior Data Scientist at Publicis Sapient France
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Contact Information
us****@****om
(386) 825-5501
Location
Greater Paris Metropolitan Region, FR
Languages
  • Français Native or bilingual proficiency
  • Anglais Professional working proficiency
  • Espagnol Limited working proficiency
  • Chinois Elementary proficiency

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Experience

    • France
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Senior Data Scientist
      • Sep 2022 - Present

    • France
    • IT Services and IT Consulting
    • 200 - 300 Employee
    • Data Scientist
      • Aug 2020 - Sep 2022

      Différentes missions chez des Clients de l'univers des média et de l'assurance. Principales réalisations : - Mise en places de Datamart, rapports, et analyses et valorisation de données- Création d'un Data Warehouse cloud sur Snowflake aliment par kinesis et déployé avec DBT et terraformTechnologies utilisées : Snowflake, DBT, AWS, PowerBI, Python, SQL,

    • Data Scientist
      • Feb 2020 - Jul 2020

      Gestion des aspects data et développement d’outil data d’une plateforme logicielle innovante permettant aux villes de superviser les opérateurs de mobilité sur leur territoire.Développement de nouvelles fonctionnalités de la plateforme en mode agile (gestion des politiques et des infractions) (Python, Django, Git)Analyse de données et proposition de nouvelles visualisationsAudit de la qualité de la donnée en base et du processus de remontées de donnée depuis les partenaires

    • Ireland
    • Business Consulting and Services
    • 700 & Above Employee
    • Accenture Strategic Business Analytics Chair
      • Jan 2019 - Jun 2019

      Data Science consulting mission with FNAC-DARTY working with their after-sales service database. Creation of a dashboard, a monitoring tool and a model to improve FNAC-DARTY after-sales services efficiency. Distinction: 1st Prize of the Accenture Chair (2019) Data Science consulting mission with FNAC-DARTY working with their after-sales service database. Creation of a dashboard, a monitoring tool and a model to improve FNAC-DARTY after-sales services efficiency. Distinction: 1st Prize of the Accenture Chair (2019)

    • United States
    • Software Development
    • 700 & Above Employee
    • Operation Research Intern
      • Jul 2018 - Dec 2018

      As part of the Supply chain Execution team in the supply chain Analytics department, I was in charge of the “Split” metrics under the supervision of my manager. I performed several tasks including: - Big data analysis on Amazon customer orders and fulfillment related to other department projects - Daily, Weekly and monthly split Metric and report automation and migration (to Redshift) - Audit and review of existing report and the development and deployment of a new data pipeline that will enable to perform more accurate and relevant analysis. - Research on how to improve the splits predictive model (new features, different features engineering methods, new models) Show less

    • France
    • Financial Services
    • 1 - 100 Employee
    • Intern
      • Sep 2016 - Dec 2016

      Fintech start-up, robot-advisor in wealth management. - Development of the Grisbee advisor tool, to improve the performance of the algorithms and adding new functionality (providing a good overview of the wealth of the client and advise him of the best investement according to his personal situation) - Statistical modelling of future return for a given investment - SEO - Client support, collecting feedback and providing help Fintech start-up, robot-advisor in wealth management. - Development of the Grisbee advisor tool, to improve the performance of the algorithms and adding new functionality (providing a good overview of the wealth of the client and advise him of the best investement according to his personal situation) - Statistical modelling of future return for a given investment - SEO - Client support, collecting feedback and providing help

    • Research assistant
      • Jan 2016 - Jun 2016

      Under the supervision of Ms Le Naguard, is studied the perceived obsolescence of durable goods and the impact of the rhythm of technological innovation. Under the supervision of Ms Le Naguard, is studied the perceived obsolescence of durable goods and the impact of the rhythm of technological innovation.

    • Stagiaire
      • Oct 2015 - Oct 2015

      Participation au sein d'une équipe à l'activité du siège départemental du Secours Populaire Français : traitement des stocks alimentaires, distribution de nourriture, tenue de la boutique solidaire, préparation du Congrès annuel, coordination du tutorat scolaire et culturelle, relance du projet l'Arrondi et suivi de dossiers. https://www.secourspopulaire.fr/69/ Participation au sein d'une équipe à l'activité du siège départemental du Secours Populaire Français : traitement des stocks alimentaires, distribution de nourriture, tenue de la boutique solidaire, préparation du Congrès annuel, coordination du tutorat scolaire et culturelle, relance du projet l'Arrondi et suivi de dossiers. https://www.secourspopulaire.fr/69/

    • Ripeur
      • Jul 2015 - Aug 2015

Education

  • ESSEC - CentraleSupélec
    MSc in Data Sciences & Business Analytics, Data Science
    2017 - 2018
  • ESSEC Business School
    Master Grande Ecole
    2015 - 2019
  • Institution Les Chartreux
    « Preparatory classe »
    2013 - 2015
  • Lycée Fabre
    Baccalauréat, Scientifique
    2011 - 2013
  • Universidad Torcuato Di Tella
    Exchange in the Master Progra, Data Science & Econometric
    2019 - 2019

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