Eya Harbi

Data Science graduate with strong foundations in statistical analysis, machine learning, and data engineering using Python. Experienced in building analytical pipelines from data preprocessing to model evaluation. Technically driven, with a growing focus on applying data to real business challenges and decision-making environments.

AI & Computer Vision Intern at Valeo (2025-02 – 2025-08)

• Designed and deployed an AI-based real-time industrial vision inspection system replacing a rule-based Cognex solution.
• Developed a backend service and monitoring dashboard for production-line integration.
• Optimized deep learning inference for CPU-based industrial deployment.

Machine Learning Intern at Esprit Entreprise (2024-06 – 2024-09)

• Developed a predictive model to estimate student academic performance using the OULAD dataset.
• Performed data preprocessing, feature engineering, and model evaluation.
• Deployed the solution using Streamlit.

AI Intern at GreenTech Training (2023-06 – 2023-09)

• Designed an AI-based system to support agricultural decision-making using climate and soil data.
• Built predictive models for crop growth and recommendation logic for optimized resource planning.

Network maintenance Intern at Banque de Tunisie (2022-08 – 2022-08)

• Configured Cisco 2960 switches and inter-VLAN routing on a Cisco 1900 router.
• Virtualization & Windows administration: VM creation, GPO deployment, and file sharing setup.

Engineering Degree in Computer Science – Specialization in Data Science – ESPRIT (2020-09 – 2025-06)

Baccalaureate in Mathematics – Hammam-Lif High school (2020-06)