Freelancer profile translated to English.

Description

Data Scientist for over 5 years now, I've had the chance to evolve within several organizations, from small businesses to large corporations.

I started my professional journey at a High-Frequency Trading Telecom company in San Francisco, working on space communication issues.

I then worked for a major consulting firm where I learned an excellence-driven approach focused on client needs, developing my skills in both challenging technical aspects for certain clients and business aspects.

I then had the opportunity to start an entrepreneurial project by founding a startup and worked for a client in the music industry as Head of Digital and Data.

I am currently a Lead Data Scientist in a large retail group, where I focus on Deep Learning and MLOps to create innovative, high-value-added products in production.

Languages

French
Native or bilingual
English
Fluent
Arabic
Basic

Workplace preferences

Can work on-site

Marseille (up to 30km), Paris (up to 10km)

LVMH PCIS
Head of Data Science
LUXURY GOODS
August 2022 - Today (3 years and 9 months)
Paris, France
GOJOB
Staff Data Scientist
HUMAN RESOURCES
February 2022 - June 2022 (4 months)
Aix-en-Provence, France
STACK: Google Cloud Platform (Vertex AI + SQL + Compute Engine...) + Kubernetes + Python + Tensorflow + XGBoost

My experience here has been short due to economic reasons (the funding raise was not as high as expected).
- Launching a project of forecasting job demand to predict the demand and increase client satisfaction.
- Developing a recommender system based on Deep Learning to recommend the correct job to the correct worker.
- Implementing AB Testing strategies (metrics, architecture...) for two Machine Learning projects.

- Implementing an MLOps approach to scale Data Science projects in production.
- Refactoring Data Science team rituals.
Google Cloud Platform deep learning forecasting python recommendation system
ITM Alimentaire international
Lead Data Scientist
AGRICULTURE
September 2019 - Today (6 years and 9 months)
Paris, France
Developing the MLOps approach to deliver Artificial Intelligence solutions in production.
Helping to identify pain points in the current data flow process and fixing them.
Spreading the data culture across the organization
Worked on 3 significant projects:

• Building the recommender systems for 10 million loyal clients (e-commerce + stores):
Technologies used: Tensorflow, Keras, Azure (Azure Machine Learning, Databricks, Azure Data Factory)
The goal of this project is to recommend 4 products to each customer by email every week.
I worked in a product team (PO / Data Engineer / Data Analyst / Data Scientist / DevOps).
We identified and built the project flow with the marketing team. We identified and got all the data needed in the CRM.
I was specifically responsible for managing the project from a technological scope while developing complex Deep Learning models, ready for production scripts and helping to develop the cloud infrastructure.

• Predicting the affluence of people hour by hour two weeks in advance in 1800 stores
From 3 years of store traffic, predicting the affluence for a store hour by hour to manage the workforce flow and restocking.
Python Tensorflow Project Management pyspark Microsoft Azure Databricks