Abdessamad Chanaa

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

Professor and researcher passionate about bridging academia and real-world innovation. With a strong research background supported by high-impact scientific publications, I also bring hands-on experience in Data Science within the banking sector, applying advanced analytics to real industry challenges. Committed to knowledge sharing, student mentorship, and developing data-driven solutions through education, research, and collaboration.

Experiences

Associate Professor

Mohammed V University of Rabat

Courses Taught:

  • Artificial Intelligence (AI)
  • Data Mining & Analytics
  • Power BI (Data Visualization & Business Intelligence)
  • Relational Databases (MySQL)
  • R Programming for Data Analysis
  • Data Warehousing & ETL Processes
  • Content Management Systems (WordPress)
  • Digital Skills & Office Tools

November 2024 - Present

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 - November 2024

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