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Ismael El Atifi

Software / Data Engineer (Python)

Can work in or around Paris

  • 48.8546
  • 2.34771
Propose a project The project will begin once you accept Ismael's quote.
Propose a project The project will begin once you accept Ismael's quote.

Location and workplace preferences

Paris, France
Can work onsite in your office in
  • around Paris and 15km


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Skills (38)

Ismael in a few words

Ingénieur diplomé de Grenoble INP - ENSIMAG en 2014 avec 8 ans d'expérience professionnelle dont 6 ans d'expérience en Machine/Deep Learning et développement Python.

Ce sur quoi je peux vous aider :
- Analyse de données massives en Python avec Pandas / PySpark / Streamlit

- Développement et optimisation d'algorithmes et de modèles prédictifs (ML et DL Computer Vision et NLP)

- Développement Python (Data et DevOps)

Je suis dispo pour mission longue à temps plein, en remote et/ou sur site (région parisienne).


Allianz Trade France - Groupe Allianz

Banking & Insurance

Python developer  - As a freelancer

Paris, France

August 2022 - Today (5 months)

Python development for batch and streaming processing.
CI-CD with GitLab / Docker / Bash / Python

Pernod Ricard - Pernod Ricard

Wine & Spirits

Data Scientist - Machine Learning Engineer  - As a freelancer

Paris, France

November 2021 - Today (1 year and 2 months)

Worked on optimization of promotional calendars (big Python codebase in production).
Future volumes sold for thousands of candidate promotional events are predicted with Gradient Boosted Trees (XGBoost), and then Mixed Integer optimization (PyOMO/Gurobi) is used to find the optimal subset of events which maximizes ROI given business constraints.

We use Azure DevOps for CI-CD and Azure ML to track our experiments and launch pipelines.
Python Machine learning Optimisation Pandas XGBoost streamlit Azure DevOps Azure Functions

Crédit Agricole SA - Groupe Crédit Agricole

Banking & Insurance

Data Scientist - Image/NLP  - As a freelancer

Montrouge, France

April 2021 - November 2021 (7 months)

Worked on multimodal document classification and information extraction from scanned images and smartphone photos.

I built an information extraction Deep Learning model which performed really well on scanned documents (based on CNN + Transformer).

The information extraction deep learning model classifies each text box read by an OCR engine based on image (feature vector extracted by CNN) and text (feature vector extracted by Transformer).

IDEMIA (ex Safran Morpho) - SAFRAN GROUP

Public Safety

Deep Learning Research Engineer - Computer Vision

Osny, France

February 2019 - November 2020 (1 year and 8 months)


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