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Anis Ayari

Head of Data Science

Can work in or around Marseille, Paris

  • 43.2954
  • 5.3631
  • Suggested rate €950 / day
  • Experience 7+ years
  • Response time A few days
Propose a project The project will begin once you accept Anis's quote.

This freelancer is available full-time but hasn't confirmed their availability in over 7 days.

Propose a project The project will begin once you accept Anis's quote.

Location and workplace preferences

Location
Marseille, France
Can work onsite in your office in
  • around Marseille and 30km
  • Around Paris and 10km

Verifications

Freelancer code of conduct signed
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Verified email

Reputation

Languages

  • French

    Native or bilingual

  • English

    Fluent

  • Arabic

    Basic

Categories

Skills (31)

Anis in a few words

Data Scientist depuis plus de 5ans maintenant, j'ai eu la chance d'évoluer au sein de plusieurs structures, de la petite entreprise aux grands groupes.

J'ai commencé mon aventure profesionnelle au sein d'une entreprise Telecom de Trading Hautes Fréquence à San Francisco en travaillant sur des problématiques de communications spatiales.

J'ai ensuite travaillé au sein d'un grand cabinet de conseil où j'ai pu apprendre une démarche d'excellence centrée sur le besoin client en montant en compétences, aussi bien sur des aspects techniques challengeant chez certains clients que sur des aspects business.

J'ai ensuite pu démarrer un projet entrepreneurial en fondant une startup et j'ai travaillé pour un client dans la musique en tant que Responsable Digital et Data.

Je suis actuellement Lead Data Scientist dans un grand groupe dans le retail, où je m'occupe de sujet de Deep Learning et de MLOps afin de créer des produits innovants en production à forte valeur ajoutée.

Experience

LVMH PCIS - LVMH

Luxury Goods

Head of Data Science  - As a freelancer

Paris, France

August 2022 - Today (1 month)

GOJOB - GOJOB

Human Resources

Staff Data Scientist

Aix-en-Provence, France

February 2022 - June 2022 (4 months)

STACK: Google Cloud Platform (Vertex AI + SQL + Compute Engine...) + Kubernetes + Python + Tensorflow + XGBoost

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

- Implementing a MLOPs approach to scale the Data Science projects in production.
- Refactoring the Data Science team rituals.
Google Cloud Platform deep learning forecasting python système de recommandation

ITM Alimentaire international - Groupement les Mousquetaires

Agriculture

Lead Data Scientist

Paris, France

September 2019 - Today (3 years and 1 month)

o-developing the MLOps approach in order 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 of 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 each week 4 products to each customer by email.
I worked in 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 earlier in 1800 stores
From 3 years of stores traffic predicting the affluence for a store hour by hour in order to manage the workers flow and the reprovisioning.

Deloitte - Deloitte Organisation

Consulting & Audits

Senior Consultant Data Scientist

Paris, France

March 2018 - September 2019 (1 year and 6 months)

I worked in the Analytics and Informations Management of Deloitte. I was in charge to bring an technical expertise point of views on many projects related directly or undirectly to Data Science / AI. I was a point of reference in Data Science in Deloitte France. I managed for example a session of formation to introduce python for Data Science for 300+ employees of Deloitte France .

FedEx with Deloitte Netherlands: Increasing revenues by automatic identifying packages in compliance with package policies from video.

Crédit Agricole – French Bank: Anomaly detection invto millions of life assurance contract using Machine Learning.

Renault – Automobile constructor: Identifying best sparking spot to buy to deploy a new electric car fleet offer in Paris.

Intrapreneur – Founder of IVI: A Deloitte digital solution to get and understand client behavior in store based on computer vision and deep learning algorithm. Presentation vidoe here. I raised 100k € from Deloitte France to develop the project. Presenting the project to the Deloitte EMEA summit in 2019 at Berlin.
Python Business development Fraud detection Algorithmique Computer Vision

Label musical - Universal Music

Culture

Responsable Digital et Data  - As a freelancer

Paris, France

November 2020 - October 2021 (11 months)

Creating analysis reports on artists to define a growth strategy on social networks.
Working on music production based on Artificial Intelligence to create songs.
Founder of application of social network application - recruiting and leading a team of 2 mobiles developpeer + 1 UX designer + UI designer - project aborted

Mckay Brothers LLC

Telecommunications

Ingénieur de recherche

San Francisco, États-Unis d'Amérique

September 2016 - September 2017 (1 year)

Software engineering / Data Science role in a comparative study of trading orders latencies in a transmission networks by low earth orbit satellites.
Purposes:
• Constellations analysis
• Analysis of the different transmissions technologies (ground - air, satellite - satellite)
• The creation of a satellite networks simulation model
• Performances evaluation of each constellations between different access points to the network
The final project have been a constellations generation tool and data roads with an encrypted analysis of performances and a report to explain the methodology and the analysis of the final results.

Other mission during the year:
• Knowledges and telecommunication skills applied to the high frequency trading domain.
• Information system project management, worked on CRM tools as Sugar and Odoo (PHP/SQL/AngularJS).
• Coding analysis and frequency allocation tools in Python.
• Scrapping script to get informations from some websites to build a .kml (Google earth) file about European fiber network.
• Deploying of all script and gui on servers to provided those services to the enterprise.
python data analysis php google earth algorithmique

Youtube

Tech

Créateur de Contenu Intelligence Artificielle

July 2019 - Today (3 years and 3 months)

https://www.youtube.com/c/defendintelligence-tech

IMT Atlantique

Education & E-learning

Lecturer

Brest, France

January 2019 - December 2020 (1 year and 11 months)

Occasional Lecturer at IMT Atlantique about the following topics
-How data drive new strategies in enterprises.
-Advanced Features engineering methods.

Education