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Hi, I’m Zied Ellouze, a data engineering student with hands-on experience in Hadoop/Spark, ML, NLP, and real-world projects spanning real estate tooling, robotics, and HR analytics. I enjoy building scalable data pipelines and intelligent agents that help people make better decisions. I thrive in collaborative teams, continuously learn new technologies, and bring a friendly, proactive attitude to problem solving. I’m excited to contribute to innovative projects and grow as a data engineer and AI practitioner.…Hi, I’m Zied Ellouze, a data engineering student with hands-on experience in Hadoop/Spark, ML, NLP, and real-world projects spanning real estate tooling, robotics, and HR analytics. I enjoy building scalable data pipelines and intelligent agents that help people make better decisions. I thrive in collaborative teams, continuously learn new technologies, and bring a friendly, proactive attitude to problem solving. I’m excited to contribute to innovative projects and grow as a data engineer and AI practitioner.

Zied Ellouze

Data Scientist, AI Developer, Data Analyst, +2

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Hi, I’m Zied Ellouze, a data engineering student with hands-on experience in Hadoop/Spark, ML, NLP, and real-world projects spanning real estate tooling, robotics, and HR analytics. I enjoy building scalable data pipelines and intelligent agents that help people make better decisions. I thrive in collaborative teams, continuously learn new technologies, and bring a friendly, proactive attitude to problem solving. I’m excited to contribute to innovative projects and grow as a data engineer and AI practitioner.…Hi, I’m Zied Ellouze, a data engineering student with hands-on experience in Hadoop/Spark, ML, NLP, and real-world projects spanning real estate tooling, robotics, and HR analytics. I enjoy building scalable data pipelines and intelligent agents that help people make better decisions. I thrive in collaborative teams, continuously learn new technologies, and bring a friendly, proactive attitude to problem solving. I’m excited to contribute to innovative projects and grow as a data engineer and AI practitioner.

Available to hire

Hi, I’m Zied Ellouze, a data engineering student with hands-on experience in Hadoop/Spark, ML, NLP, and real-world projects spanning real estate tooling, robotics, and HR analytics. I enjoy building scalable data pipelines and intelligent agents that help people make better decisions.

I thrive in collaborative teams, continuously learn new technologies, and bring a friendly, proactive attitude to problem solving. I’m excited to contribute to innovative projects and grow as a data engineer and AI practitioner.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

Arabic

Fluent

English

Advanced

French

Advanced

Work Experience

AI Engineering Intern at Talan Consulting

June 1, 2025 - October 25, 2025

Led the development of a multifunctional intelligent agent for the real estate sector. Designed a conversational agent capable of detecting user intent and dynamically triggering features such as price prediction, NL-to-SQL property search, Corrective RAG-based legal answers, and contract generation. Built a modular workflow around LangGraph and LangChain, integrating NLP pipelines, LLMs, and SQL interactions to support end-to-end real estate conversations.

Engineering Intern at IMSR Engineering

September 1, 2024 - October 25, 2025

Designed an autonomous mobile robot capable of navigating environments and avoiding obstacles using a camera and LIDAR sensor. Developed perception and planning components and validated performance through simulations and experiments. Technologies used included Python, Deep Learning, and Machine Learning techniques.

BI Intern at Talan Consulting

July 1, 2023 - October 25, 2025

Analyzed and visualized HR data to optimize recruitment processes. Created dashboards and reports using PostgreSQL, Talend, and Power BI to track metrics, identify bottlenecks, and support data-driven hiring decisions.

AI Development Intern at Djagora Fablab

July 1, 2022 - October 25, 2025

Developed an application to assist in early autism diagnosis, leveraging machine learning and data analysis to support clinicians and caregivers.