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Ferdinand H.FH

Ferdinand H.

MLOps | Data Engineering

€700/day
4 projects
Paris, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Ferdinand

Hello,

As an engineer by training, I specialized in data and its processing.

From its acquisition to its delivery, including its valorization, I quickly realized that the value provided depended on the ability to serve at scale. I define myself today as an ML Engineer.

Since then, I have focused on the production of data processing (from simple ETL processing to complex machine learning models with retraining and monitoring).

I am committed to maintaining this commitment with the clients I support, prioritizing a pragmatic approach based on the value provided and technical scalability.

I had the opportunity to apply this with various companies, notably Sybel, for whom I had to design and develop an end-to-end recommendation model. I also worked for EDF to write a state-of-the-art on MLOps, both internationally and in France with our current clients.
Finally, I was able to leverage this new knowledge to develop an MLOps processing chain within Pass Culture.

I would be happy to discuss your challenges with you and will be available for any meeting.

Ferdinand H.
  • French

    Native or bilingual

  • English

    Fluent

  • Spanish

    Conversational

Remote only
Primarily works remotely

Experience

  • OSCARO.COM
    ML Engineer
    AUTOMOBILE
    May 2022 - February 2023 (9 months)
    Asnières-sur-Seine, France
    Airflow Python Dataflow DBT GCP
  • pass Culture
    ML Engineer
    CULTURE
    August 2020 - June 2021 (10 months)
    Paris, France
    I worked for this startup from August 2020 to June 2021 to build the data team. Our role was to implement a recommendation algorithm. First, a significant data engineering effort was necessary to aggregate all the streams. Then, we set up an MLOps pipeline using Airflow and MLflow.
    Python Google cloud Airflow Mlflow Ansible GitHub CI/CD CircleCI
  • Sybel
    Data & Recommendation Algorithm Support
    ENTERTAINMENT AND LEISURE
    February 2019 - January 2020 (11 months)
    Paris, France
    Supporting an audio series startup across their entire data processing chain
    - Setting up the cloud infrastructure on Google Cloud Platform
    - Developing the architecture to process log data from applications
    - Developing recommendation algorithms for users (content-based & Matrix Factorization)
    Python Data science Google cloud Big Query API Algorithms

Reviews

5.0

Out of 1 rating

CharlesC

Charles

Senior Media SAS

Reviewed on 9/4/2018

Great work, objectives achieved!

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Education

  • General Engineer
    Télécom Bretagne
    2017
    École d'ingénieur généraliste, Télécom Bretagne appartient au réseau Mines-Télécom: le plus grand réseau d'élèves ingénieur de france. Fortement orienté sur le monde du numérique, ma formation a su me donner les atouts pour apprendre et surmonter n'importe quel défi s'offrant à moi.

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