Abdessamad Chanaa

Avenue Ibn Sina B.P 765, Agdal-Rabat, Morocco.
abdessamad.chanaa@gmail.com

I'm a Data scientist specialising in recommender systems at Mohammadia School of Engineers of Mohammed V University (UM5) of Rabat, Morocco. I am also a Computer Science Engineer from the High School of Applied Science of Marrakesh. My interests lie in the fields of Deep Learning, Machine Learning, Natural Language Processing (NLP) and Educational Engineering.

Experiences

Data scientist | Cloud data responsible

Groupe Crédit Agricole du Maroc (GCAM)

  • Design and implementation of the attrition management project (Churn).
  • Appetence score modelling and recommendation system implementation for banking products.
  • Management and monitoring of data pipeline on Azure cloud.
  • Cloud data reliability and quality check.
  • Data analysis and results visualization using the Power BI tool.

Decembre 2021 - Present

Research Engineer

Laboratory of Modeling, Analysis and Intelligent Systems (MASI)

  • Creation of learning objects research engine (Content-based recommender system)
  • Creation of UGPFM recommendation system framework. It is based on Convolutional Neural Network (CNN) and Factorization Machines (FMs) [link to the project]

September 2018 - September 2023

Temporary professor

National Institute of Statistics and Applied Economics (INSEA)

  • Linked Open Data (LOD).
  • Semantic Web.

October 2020 - February 2021

Data scientist

AIOX LABS

  • Sentimental analysis of clients' feedbacks in the banking sector using NLP Darija (Moroccan dialect).

Mars 2020 - April 2020

Temporary professor

Mohammadia School of Engineers (EMI)

  • Initialization to the data analysis in Python.
  • Algorithmic and Programming in C language.
  • Object-oriented programming in Java.
  • Data structures.
  • PL\SQL Programming.

September 2018 - February 2020

Back-end developper Intern

TamTam International

  • Newsletter management for the Belgian Institute of Accountants and Tax Consultants (IEC) using PHP7 and Symfony

February 2017 - August 2017

Education

Mohammaed V University of Rabat, Mohammadia School of Engineers (EMI)

PhD in Data science
Data science - Recommender Systems - Machine learning - Deep Learning - Natural Language Processing (NLP)
January 2018 - October 2021

Cadi Ayyad University of Marrakech, National School of Applied Sciences (ENSA)

Computer science engineer
Python - Java - Web development - Database Management System (DBMS) - Bash - Unified Modeling Language (UML)
September 2012 - August 2017

Skills

Programming Languages & Tools
Expertise
  • Recommender systems expert.
  • Machine learning engineer.
  • Natural Language Processing (NLP) specialist.
  • Back-end Developper.
  • Computer science confirmed Professor.
  • Experienced researcher.
  • Journal reviewer.

Papers

Prerequisites-based course recommendation: recommending learning objects using concept prerequisites and metadata matching

Abdessamad Chanaa, Nour-eddine El Faddouli
SLE 2024
[Paper]

A cognitive level evaluation method based on machine learning approach and Bloom of taxonomy for online assessments

Abdessamad Chanaa, Nour-eddine El Faddouli
EduLearn 2024
[Paper][Code & Data]

Sentiment Analysis on Massive Open Online Courses (MOOCs): Multi-Factor Analysis, and Machine Learning Approach

Abdessamad Chanaa, Nour-eddine El Faddouli
IJICTE 2022
[Paper]

An Analysis of learners’ affective and cognitive traits in Context-Aware Recommender Systems (CARS) using feature interactions and Factorization Machines (FMs)

Abdessamad Chanaa, Nour-eddine El Faddouli
JKSUCIS 2021
[Paper] [Code & Data]

E-learning Text Sentiment Classification Using Hierarchical Attention Network (HAN)

Abdessamad Chanaa, Nour-eddine El Faddouli
IJET 2021
[Paper]

Latent Graph Predictor Factorization Machine (LGPFM) for modeling feature interactions weight

Abdessamad Chanaa, Nour-eddine El Faddouli
SITA 2020
[Paper]

BERT and Prerequisite-Based Ontology for Predicting Learner’s Confusion in MOOCs Discussion Forums

Abdessamad Chanaa, Nour-eddine El Faddouli
AIED 2020
[Paper]

Predicting Learners Need for Recommendation Using Dynamic Graph-Based Knowledge Tracing

Abdessamad Chanaa, Nour-eddine El Faddouli
AIED 2020
[Paper] [Code & Data]

Doc2Vec &Naïve Bayes: Learners’ Cognitive Presence Assessment through Asynchronous Online Discussion TQ Transcripts

Hind Hayati, Abdessamad Chanaa, Mohammed Khalidi Idrissi, Samir Bennani
IJET 2019
[Paper]

Context-aware factorization machine for recommendation in Massive Open Online Courses(MOOCs)

Abdessamad Chanaa, Nour-eddine El Faddouli
WITS 2019
[Paper]

Deep learning for a smart e-Learning system

Abdessamad Chanaa, Nour-eddine El Faddouli
ICSDE 2018
[Paper]

Certifications

  • Microsoft Certified: Azure Data Fundamentals
  • Academy Accreditation - Databricks Lakehouse Fundamentals
  • Certified Publons Academy Peer Reviewer
  • Certified Elsevier Researcher Academy Peer Reviewer