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AI Engineer with less than a year in Machine Learning & Data Analysis.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Jeune diplômé en Intelligence Artificielle et Data Analysis, passionné par l'IA Générative. Compétences en Python, APIs, Machine Learning, LLMs et Prompt Engineering, avec une expérience dans le développement d'applications IA. Motivé à contribuer au développement de solutions basées sur les LLMs, le RAG et les AI Agents.
ISMONTIC
Technicien spécialisé · Intelligence Artificielle et Data Analysis
August 1, 2024 – June 30, 2026
Lycée Roi Fahd Ibn Abdelaziz
Baccalauréat · Sciences physiques
June 1, 2023 – May 31, 2024
SEBN-MA
Stage en Intelligence Artificielle
April 1, 2026 – June 1, 2026
India
Assistant d'orientation universitaire – RAG
June 1, 2026 – Present
Collecte et structuration des données. Intégration d'un LLM via API avec une approche RAG pour répondre aux questions d'orientation. Développement d'une interface conversationnelle.
Prédiction du risque d'infarctus – Machine Learning
June 1, 2026 – Present
Modèle de classification utilisant régression logistique, Random Forest, KNN, Decision Tree et SVM. Prétraitement des données (nettoyage, normalisation, encodage).
E-Commerce Dashboard- ETL & Power BI
June 1, 2026 – Present
Collecte et intégration automatisée de données multi-sources (CSV,HTML, XML, TXT) via Power Query. Transformation, nettoyage et modélisation des données Conception d'un dashboard interactif sous Power BI
Python Essentials 1 et 2
Unknown
June 1, 2026 – Present
Power BI and Tableau for Data Visualization
Unknown
June 1, 2026 – Present
Data Analytics Essentials
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse application of AI/ML concepts, including ETL for dashboards, predictive modeling for healthcare, and RAG for educational assistance. This breadth of interest aligns with a dynamic environment. The target role of 'AI Engineer' is well-aligned with the candidate's stated passion for Generative AI and LLMs. However, the candidate is a recent high school graduate with limited professional experience, which might impact immediate cultural integration into a senior-level team without significant mentorship.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work through the full lifecycle of AI/ML projects, from data collection and preprocessing to model development and application deployment. The academic projects and internship suggest a structured approach to problem-solving. However, without psychometric test results, it's difficult to assess logical reasoning, work attitude, stress handling, or team collaboration.