Help & Supportcareers@gravityer.com
AI Engineer with less than a year in Data Science & AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated engineering student specializing in Data Science, Big Data, and Artificial Intelligence, currently seeking an internship opportunity. Skilled in Python for data analysis, visualization, and machine learning, with hands-on experience using libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib. Familiar with, NLP, Generative AI, LLMS, and RAG systems through projects. Fast learner, problem solver, and eager to contribute to innovative real-world projects.
ENSA Agadir (National School of Applied Sciences)
Engineering Cycle · Data Science, Big Data & AI
August 1, 2025 – Present
ENSA Safi (National School of Applied Sciences)
Preparatory Cycle
August 1, 2023 – June 30, 2025
Al Tabari High School
Baccalaureate · Physical Sciences
N/A – May 31, 2023
ENSA Agadir
Logistics Team Member (Staff) – Info Days 2.0
April 24, 2026 – April 26, 2026
Agadir, Souss-Massa, Morocco
AI Cybersecurity Chatbot using ML, RAG & LLM
June 1, 2026 – Present
Built an AI-powered cybersecurity chatbot for intrusion detection and attack explanation. Trained a machine learning model on network traffic data to detect malicious activities. Implemented RAG with a vector database to retrieve cybersecurity knowledge efficiently. Integrated an LLM to generate contextual explanations and security recommendations.
Customer Churn Prediction
June 1, 2026 – Present
Built a machine learning model to predict customer churn using the Telco Customer Churn dataset. Performed data cleaning, preprocessing, and EDA to identify churn patterns. Implemented and compared multiple models: Logistic Regression, Random Forest, and Gradient Boosting. Evaluated models using recall, F1-score, and feature importance to improve performance.
Initiation à l'IA Embarqué Avec Raspberry Pi
Orange Digital Center Agadir
April 1, 2026 – Present
Python for Data Science
IBM
January 1, 2026 – Present
Git and GitHub
365 Data Science
November 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a proactive approach to learning and applying AI/ML concepts. The participation in organizing a tech event (Info Days 2.0) indicates a willingness to contribute to a community and work in a team, suggesting a positive cultural fit for collaborative environments. The diversity of projects (cybersecurity, customer churn) shows a breadth of interest within AI/ML. However, the experience is primarily academic, and exposure to diverse professional work cultures is limited.
Soft Skills & Operational Fit
The candidate's experience as a Logistics Team Member suggests organizational skills, teamwork under pressure, and event coordination abilities. These indicate a capacity for operational tasks and collaboration, which are valuable in a professional setting. However, direct evidence of problem-solving or critical thinking in a technical context is limited to project descriptions.