Industrial Engineering (Specialization: Data Science for Smart Industry)

2022 - 2025

National School of Engineers of Tunis (ENIT), Tunis, Tunisia

Comprehensive training in industrial systems, operations research, and production management, with a strong focus on data science applications in smart manufacturing and decision-making.

Master’s degree in Next Production Revolution (NePRev)

2024 - 2025

Doctoral School of Engineering Sciences and Technologies, Tunis, Tunisia

Advanced program exploring the integration of emerging technologies, such as AI, IoT, and digital twins, into industrial systems to drive innovation and sustainable transformation.

Preparatory Program in Mathematics and Physics

2020 - 2022

Preparatory Institute for Engineering Studies, Nouakchott, Mauritania

Intensive foundational program in mathematics, physics, and engineering sciences designed to prepare students for competitive entrance exams to top engineering schools.

Final Year Project – Data Analyst

April 2025 - Present

CIS MINES Saint-Étienne & Claude Bernard University Lyon 1, Saint-Étienne, France

• Preprocessing and analysis of national healthcare data (RIM-P) on psychiatric patient care pathways
• Application of Machine Learning and Process Mining techniques to identify care trajectories associated with coercion
• Comparative study of coercive practices across hospitals and modeling their impact on care pathways
• Use of Large Language Models (LLMs) to automate the summarization and synthesis of complex data from care pathways

Machine Learning Intern

September 2024 – October 2024

HUBBLEMIND, Remote, India

• Conducted exploratory data analysis (EDA) on financial data (using Pandas, Seaborn) and selected key features (correlation, SHAP importance).
• Trained and optimized models (LSTM, ARIMA) with TensorFlow, achieving a 7-day forecast MAE of 1.2%

Data Science Intern

July 2024 – August 2024 | Tunis, Tunisia

ENIT – LAMSIN Laboratory, Tunis, Tunisia

• Comparison of weather prediction models: Machine Learning vs. Dynamic Systems for accuracy and robustness
• Processed a dataset of 1.2 million entries from 10 major U.S. cities
• Developed models: linear regression (R² = 0.76), random forest (0.89), LSTM (0.93) for daily temperature forecasting
• Built interactive visualizations with Power BI: heatmaps, comparative time series

Research Intern

June 2023 – August 2023

BONTAZ Tunisia, Tunis, Tunisia

• Enhanced efficiency and productivity through data-driven analysis and workflow improvements
• Analyzed workflows, developed predictive models, and proposed actionable process optimizations