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Raphaël HamezRH

Raphaël Hamez

Data Analyst / Data Scientist / Data Engineer

800 €/jour
Paris, FR
8-15 ans

Délai de réponse moyen : 1h

À propos de Raphaël

Hello ! My name is Raphaël and I am a weathered data scientist loving to solve concrete business problems with the help of data. My background includes data science consulting for tier 1 companies in various domains such as finance, luxury, fashion retail and travel.

My last experience involves leading a team of data scientists within a travel tech company.
I have a solid experience in delivering end to end data products, from data ingestion to use case exposition. Such products include recommender systems, dynamic pricing tools, dashboards and data visualisation, personalisation for CRM campaigns and ad hoc data analysis.

You can count on my knowledge of both the data analysis (data wrangling, data viz, SQL), data science (machine learning and deep learning frameworks, paper reading, efficient coding skills) and data engineering fields (strong knowledge of the cloud ecosystem such as GCP and AWS, proficiency in Spark and scheduling tools such as Airflow).

I'm deeply passionate about this field and I am always eager to share technical knowledge with the people I work with. Because the data science field is evolving so fast I feel that sharing ideas is one of the best ways to keep up to date. I really hope to be discussing more about that with you !
Raphaël
  • Français

    Bilingue ou natif

  • Anglais

    Capacité professionnelle complète

Accepte de travailler sur site
Paris (jusqu’à 50 km)

Expériences

  • Expedia group
    Senior Data Scientist
    HIGH TECH
    avril 2021 - janvier 2023 (1 an et 10 mois)
    Geneva, Suisse
    I conceive and implement data science products that help our partners' experience

    The most relevant projects are:

    - Dynamic pricing tool for vacation rentals

    - Occupancy forecasts at different granularities using recent deep learning research papers

    - POC implementation of travel hot spot detection base on recent deep learning research papers

    - POC implementation of property segmentation using deep metric learning based on recent deep learning research papers
    TensorFlow Apache Spark Python databricks Scikit-learn catboost Big Data
  • Equancy
    Lead Data Scientist
    CONSEIL & AUDIT
    septembre 2018 - avril 2021 (2 ans et 8 mois)
    Paris, France
    Delivered data science use cases to tier 1 European companies operating in various sectors.

    The most significant projects were:

    - Recommender system using latest deep learning research for a tier 1 French luxury company

    - Personalization through lifetime value prediction and look alike modeling for a tier 1 French luxury company

    - Automatic invoice classification in order to reduce the accountant's workload for a tier 1 French luxury company

    - Retail banking transaction data mining in order to detect key moments in the customers' life to address personalization for a tier 1 French bank

    - Sales forecasting for a tier 1 Spanish fashion retailer in order to address shipment costs optimization
    TensorFlow Python Cloud computing Dataiku Deep Learning Machine learning

Recommandations

AU
AU
Ancien utilisateur et 1 autre personne recommandent Raphaël

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Formations

  • Masters of Applied Statistics and Mathematics
    ENSAE Paristech
    2016
    - Tier 1 French engineering school - Machine Learning from theoretical and applied perspectives
  • Masters of Science in Management
    ESSEC Business Schoole
    2016
    Top ranked French Business School I obtained this diploma in parallel to the degree obtained at ENSAE thanks to a convention in between both schools

Certifications

  • Google Cloud Architect
    Google
    2019
    Big Data Cloud architect
  • Tensorflow developer
    Google
    2020
    TensorFlow

Compétences (24)

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