[nom]
[e-mail] · Rabat,Morocco · [téléphone] · [lien]
Education
Master of Science in Computer Science Engineering. · 2024/01 – 2024/12
MSU-Mississippi State University- GPA:3.7 · [nom]
Master of Science in Big data and AI · 2022/09 – 2024/01
UIR-International University of Rabat · Rabat, Morocco
Bachelor of science in Computer Science engineering · 2019/09 – 2022/06
UIR-International University of Rabat · Rabat, Morocco
Professional Experience
Data Analyst– First Team, Maghreb Association Sportive de Fès (MAS Fès) · 2025/08 – 2026/01
Analysis and monitoring of tactical and performance data for the first team during pre-match, post-match, and opposition analysis.
Collection, structuring, and exploitation of event and tactical data to support coaching staff decision-making.
Design and implementation of a centralized performance database to track individual and collective performance metrics.
Development of data visualization platforms and dashboards (KPIs) for players and coaching staff.
Production of daily, weekly, and post-match physical performance reports (training load, intensity, HSR, sprint distance, total distance, etc.).
Individual player monitoring, identifying load trends, fatigue indicators, and injury risk.
Automation of performance reports to improve delivery speed and clarity for the technical staff.
Close collaboration with the coaching staff, strength & conditioning coaches, and video analysts to align physical and tactical data.
Data Engineer | Client-Facing Sports Analytics · 2025/05 – 2025/11
Designed and maintained end-to-end data pipelines for collecting, cleaning, and integrating match, tracking, and player career data for professional football clients represented by Segame & Maalmi.
Built scalable data models and KPI frameworks to support player performance evaluation, market value estimation, and transfer potential analysis.
Engineered analytics-ready databases and optimized data structures to power performance dashboards, scouting tools, and statistical player profiles used by agents and clubs.
Automated the generation of customized analytical reports, enabling clients to assess tactical strengths, development gaps, and progression trends efficiently.
Collaborated directly with agents, analysts, and decision-makers to translate business and scouting requirements into reliable data solutions and benchmarks.
Implemented longitudinal data tracking and visualization pipelines to monitor player development over time, supporting transfer negotiations and career planning.
Data Analyst- First Team, Wydad Athletic Club(WAC) · 2025/01 – 2025/09
Engineered and maintained data pipelines for match analysis and performance evaluation, integrating event and · Casablanca
tracking data to support first-team decision-making.
Built analytics workflows to support opposition scouting, delivering data-driven insights used to optimize tactical preparation and in-game adjustments.
Designed and implemented data models and KPI frameworks to evaluate team and opponent strengths and weaknesses across competitions.
Integrated and processed large-scale football datasets from Hudl, Wyscout, and StatsBomb, ensuring data consistency, accuracy, and analytical readiness.
Developed data visualizations and automated analytical reports to translate complex performance metrics into actionable insights for coaches and technical staff.
Implemented predictive and descriptive models to assess player and team performance trends, supporting performance optimization and strategic planning.
Scientifique des Données - Ingénieur IA | Projet de Sécurité en Construction, Mississippi State University · 2024/01 – 2024/12
Développement de modèles d’IA prédictifs pour la sécurité en construction, améliorant l'évaluation de conformité via · Starkville, United States
Deep Learning & Computer Vision.
Conception de tableaux de bord automatisés (Power BI, Tableau) pour la surveillance en temps réel de la sécurité.
Application du NLP et des LLMs pour améliorer la récupération de documentation sur la sécurité en alignement avec les besoins en business intelligence.
Data Scientist-Researcher, TIClab,laboratory · 2023/09 – 2024/01
Developed an AI-powered intelligent chatbot using LangChain, GPT-3.5, and Llama 2, enhancing user engagement in · Rabat, Morocco
the healthcare sector.
Integrated SQL and NoSQL databases (MySQL, MongoDB) to ensure efficient data retrieval.
Automated sentiment analysis of user feedback to support data-driven decision-making.
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Big Data and AI
Technologies & Frameworks: Spark, Hadoop, MapReduce, Databricks
Machine Learning & Deep Learning: Data Mining, Machine
Learning, Deep Learning
Skills
Data visualization, Processing and Exploitation
Power BI, Tableau, Talend, ArcGis, Excel.
Bases de Données SQL/NoSQL
MongoDB, MySQL, Oracle, Neo4j.
Libraries & Tools: TensorFlow, Keras, PyTorch, LangChain, LLMs, Google Teachable Machine
DevOps & MLOps: CI/CD
Core Competencies: Data Analysis, AI Model Development
Programming Languages
Python, R, Java, C, C++,HTML, CSS.
Cloud & Deployment
Cloud Platforms: Google Cloud Platform (GCP), AWS, Azure
Cloud computing
Amazon Web Services (AWS),Azure.
Data Pipelines & Automation: Apache Airflow, Talend, Batch Segment, NeonDx (Flytxt)
Deployment: Docker, Kubernetes
BIM and Design Tools
REVIT, AutoCAD, SketchUp, Navisworks, and Civil 3D.
AWS Academy Cloud Security Foundations
Arabic · French
Bilingual or native language · Bilingual or native language
Certificates
AWS Cloud Foundation
Languages
English · Spanish
Bilingual or native language · Bilingual or native language
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