I am Youness Hourri, a researcher specializing in data science, software development, and open-source software (OSS) research. My work focuses on analyzing OSS communities, understanding software engineering practices, and developing data-driven solutions for software development insights.

With a strong academic background in machine learning, statistics, and software engineering, I explore how data science methodologies can be applied to software research and development.

đź“Ť Currently: Researcher at University of Mons
đź“š Fields of Interest: Data Science | Machine Learning | Software Development | OSS Research

đź“„ Curriculum Vitae

🔎 View My CV

🎓 Education

Master’s Degree in Machine Learning & Data Science

📍 Université Sorbonne Paris Nord (2021 – 2023)

  • Focus on statistics, data mining, data warehouse, machine learning, deep learning, and business intelligence.

Master’s Degree in Web Intelligence & Data Science

📍 Université Sidi Mohammed Ben Abdellah-Fès (2021 – 2023)

  • Topics covered: Data exchange and interoperability, operations research, optimization, modeling & simulation, AI, NLP, text mining, web mining, and visual analytics.

Bachelor’s Degree in Mathematics & Computer Science

📍 Université Sidi Mohammed Ben Abdellah-Fès (2018 – 2021)

  • Courses in linear algebra, calculus, probability & statistics, programming, algorithms, databases, OS, and computer networks.

đź’Ľ Professional Experience

Researcher – University of Mons (2023 – Present)

đź“Ť Mons, Belgium

  • Research on software engineering practices within OSS communities.
  • Studying adoption, impact, and enhancement of automated processes in software workflows.
  • Assisting in computer science education, mentoring students on research projects.

Data Scientist – Institut Lyfe Research & Innovation Center (2023)

đź“Ť Lyon, France

  • Conducted statistical analysis on odor perception and cognitive effects.
  • Implemented machine learning models for analyzing olfactory perception.
  • Applied Natural Language Processing (NLP) for evaluating aroma descriptions.

Java Developer – Artificial & Business Intelligence Soft (2022)

đź“Ť Fez, Morocco

  • Developed Java-based web applications.
  • Worked on relational databases, UI design, and Agile development.
  • Applied Spring Framework for back-end development.

🛠️ Skills

  • Programming: Python, Java, R
  • Machine Learning & AI: Supervised & Unsupervised Learning, Deep Learning, NLP
  • Data Science: Statistics, Predictive Modeling, Data Mining, Big Data Processing
  • Software Development: Web Applications, APIs, Backend Systems
  • Research Areas: OSS Ecosystems, Software Engineering, Computational Analysis

đź“š Certifications

  • Machine Learning Specialization – Stanford Online (Nov 2022)
    Credential ID: 52N5TQS7VA23

🌍 Languages

  • Amazigh & Arabic (Native/Bilingual)
  • French (Full Professional Proficiency)
  • English (Professional Working Proficiency)

🎗 Volunteering & Social Engagement

Linkee (Food Distribution Volunteer) (2023)

đź“Ť France

  • Distributed food to students in need and provided information on social programs.

Équipage Solidaire (Deliverer – Delivr’aide) (2023)

đź“Ť France

  • Helped deliver essential food and hygiene kits to students in need.