Data Engineering passionate about building pipelines and data analysis, with hands-on experience in ETL/ELT, data warehousing, visualization, and NLP. Currently interning as a Data Engineer at Veolia (Rabat), I focus on bringing rigor, automation, and data transformation into actionable dashboards and reliable infrastructure.

ESI curriculum: Artificial Intelligence · Machine Learning · Deep Learning · Big Data · Cloud Computing · DevOps · Software Engineering

• Built a data extraction pipeline from on-premises Oracle databases via on-premises data gateway
• Participating in the design and rollout of a new Data Fabric architecture

• Built ETL pipelines for multi-source internal data extraction and transformation
• Designed and deployed dynamic dashboards for store performance analysis and strategic insights
• Contributed to the decision-making process for a new store opening in Salé (2025)

• Developed and improved the company frontend using Next.js with responsive UI components and performance optimization
• Integrated an AI chatbot using LangChain, Qdrant, and the OpenAI API, plus a collaborative filtering recommendation engine
• Designed backend logic for RAG pipelines and deployed services on AWS ECS with CI/CD via GitHub Actions

• Cleaned, transformed, and analyzed social media data to produce actionable insights
• Contributed to fine-tuning NLP models for localized social listening in Morocco
• Optimized data pipeline models, improving processing efficiency by 40%

end-to-end analitycal system for taxis dynamic in NYC

• stack: DataBrick warehouse , dbt , airflow , spark , superset , podman , MLFLOW , postgres

Intelligent chatbot integrated with WhatsApp, capable of querying and managing multimedia data (text, image, audio, video)

• Multi-agent architecture with LangChain / LangGraph for task distribution, orchestration, and contextual persistence
• RAG system powered by Qdrant for semantic search, vector indexing, and conversational grounding
• Scalable and secure data pipelines on AWS (S3, DynamoDB, Lambda) — ingestion, storage, transformation, monitoring
• Multi-turn conversational context with OpenAI APIs for NLU and data synthesis

Stack: Django REST · AWS · Qdrant · LangChain · OpenAI API · GitHub Actions

Enterprise data warehouse and analytics platform for banking operations

• Designed and implemented a star schema Data Warehouse on SQL Server
• Built ETL processes with SSIS for ingestion and transformation of complex banking data
• Created interactive Power BI dashboards with business KPIs and predictive insights
• Optimized DirectQuery / Import connections between Power BI and SQL Server for real-time analytics

Stack: SQL Server · SSIS · Power BI · Python

Full mathematical implementation of ML and DL algorithms

• 6 ML models: Linear Regression, Logistic Regression, KNN, Decision Trees, Random Forest, SVM
• 4 DL architectures: MLP, CNN, RNN, Autoencoder
• Complete backpropagation and optimization algorithms implemented from scratch
• Evaluated on real datasets with comprehensive performance metrics

• Co-Head, Competitive Programming Cell — CODE-ESI (Sep 2024 – Jun 2025)
  Mentoring engineers in algorithmic problem-solving

• Treasurer — JCMP-ESI (Sep – Dec 2024)
  Managed club finances and budgeting

• Sponsorship & Events Committee Member — Moroccan Days of Future Data Scientists (May 2024 – Present)
  Coordinated partnerships for national data science events