Ons Nefla, PhD

Data Consultant

Salaire / Taux journalier

Paris, France

Freelance

Peut venir sur site

Expertises

Data SciencePythonSnowflakedbtData VizualizationPHPJavaHTMLRequêtes SQLMySQLC++JavascriptAndroidMATLABCOracle

Langues

FrançaisAnglaisArabe

À propos

Introduction

Graduated with a PhD in artificial intelligence from Paris-Dauphine University. My thesis topic was about developing a new classification method (supervised learning method) and a multiagent-based negotiation process allowing to converge the agents' classifications. This topic is at the crossroads of several disciplines, allowing me to acquire rich and diverse skills in several areas of artificial intelligence, data science and decision support systems. This knowledge has been confirmed by numerous scientific contributions. All the skills I have acquired during my scientific career supports both my passion and my curiosity to discover and try to solve the different problems present in the different sectors. I am glad to put my skills at the service of companies.

Liens

Expérience de travail

Data Consultant

Talan

sept. 2021 - Présent

5 ans 2 mois

Paris, France

Université Paris Dauphine - PSL

oct. 2017 - oct. 2021

4 ans 1 mois

Assistant Lecturer

sept. 2020 - oct. 2021

1 an 2 mois

In charge of lecture, tutorials, and lab of Python, C++ and Database.

Ph.D Student/Researcher

oct. 2017 - oct. 2021

4 ans 1 mois

Région de Paris, France

The thesis project is part of a collaboration between emlyon business school and Paris-Dauphine university. The subject is: Agent-based Group Decision Making for Ordinal Classification : preference elicitation and negociation-aggregation. During my thesis, I develop an ordinal classification process for group decision aiding. For this aim, I have developed a two-phase process. The first pre-negotiation phase consists in assisting a single decision maker in her multi-criteria ordinal classification problem based on a new "incremental" elicitation process. This process selects the most informative questions to ask the decision maker in order to learn her preferences. The second negotiation phase aims at converging several decision makers towards a group classification based on their individual classifications (derived from the pre-negotiation phase). The process is based on a multi agent system to represent the human decision makers and toconduct the process in a distributed and autonomous way. This process aims at satisfying fairly all the decision makers involved by taking into account the evolution of their behaviors and preferences and by optimizing the disclosure of their individual classifications.

Junior Researcher

emlyon Business School

oct. 2017 - oct. 2020

3 ans 1 mois

-In charge of lecture, tutorials, and lab of Mobile and Web applications. -In charge of designing and publishing pedagogical cases.

Research Internship

Dassault Systèmes

avr. 2017 - oct. 2017

7 mois

Région de Paris, France

-Integrating the SMT Solver in the DS Research Combinatorial Optimization environment; -Modeling combinatorial optimization problems with SMT-LIB2 language.

Summer Internship

LEONI

mai 2015 - août 2015

4 mois

Sousse, Tunisie

Creating a dynamic website for Supply chain management: optimization of stock and logistic ow.


Formation

Paris-Dauphine

Doctor of Philosophy - PhD, Informatique

2017 - 2021

4 ans 1 mois

Institut Supèrieur des Sciences Appliquées et de Technologie de Sousse - ISSAT Sousse

Engineer's degree, Industrial IT Engineering / Computer Systems Technology

2013 - 2016

3 ans 1 mois

Institut Supèrieur des Sciences Appliquées et de Technologie de Sousse - ISSAT Sousse

Pre-Engineering Classes / Preparatory Classes, MPCs: Math-Physics-Computer Science

2011 - 2013

2 ans 1 mois

Le meilleur endroit pour trouver votre prochaine opportunité

© 2026. Tous droits réservés.