About Mohamed
- Data cleaning and preparation
- Exploratory and statistical analysis
- Creation of dashboards and reporting
- Monitoring of Key Performance Indicators (KPIs)
- Predictive models
- Classification and segmentation
- Anomaly detection
- Recommendation systems
- Development of AI chatbots
- LLM-based solutions
- RAG systems connected to your data
- Semantic search and vector databases
- Automation of repetitive tasks
- Processing of Excel, CSV files, and databases
- Web Scraping and data collection
- Development of custom tools
Arabic
Native or bilingual
French
Fluent
English
Fluent
Experience
- Academie Amjd Pro InternationalAI Solutions DeveloperEDUCATION AND E-LEARNINGApril 2026 - June 2026 (2 months)Nador, MoroccoCompleted an internship project focused on developing an intelligent management and analysis platform for AMJD Pro International Academy.Main missions:
- Developed a web application with Laravel and MySQL.
- Designed an intelligent chatbot based on a RAG (Retrieval-Augmented Generation) architecture.
- Implemented semantic search with BGE-M3 and Qdrant.
- Developed an automatic sentiment analysis system with XLM-RoBERTa.
- Automatic topic detection using BERTopic.
- Generated intelligent recommendations and created a decision support dashboard.
- Integrated Artificial Intelligence models for data analysis and exploitation.
- i-Soft NetworkData & AI Applications DevelopmentDIGITAL AND ITJune 2025 - July 2025 (1 month)Kenitra, MoroccoDeveloped an interactive web application to analyze historical agricultural data and forecast future production in Morocco until 2040. The goal was to provide stakeholders in the agricultural sector with a reliable and visual tool to anticipate production trends and support strategic decision-making.
Missions carried out
Data Collection & Preparation: Cleaned and structured historical agricultural data (dataclean.csv) to ensure analysis quality.Predictive Modeling:
- Used Facebook Prophet to model and predict production evolution.
- Optimized parameters to improve accuracy (MAE, RMSE, R²).
- Generated annual forecasts up to 2040.
User Interface Development:
- Created an intuitive Streamlit application with multi-page navigation (History, Forecasts, Home).
- Integrated interactive filters (product, year range).
- Displayed key statistics (average, min, max, growth).
- Graphical visualization with Matplotlib and export to CSV/PNG format.
*Deployment:Deployed the application on Streamlit Cloud.Technologies used
Python, Streamlit, Facebook Prophet, Pandas, NumPy, MatplotlibResults & Added Value
- Interactive tool usable by agricultural professionals, analysts, or public decision-makers.
- Clear visualization of past and future trends.
- Simple export of data and graphics for integration into reports.
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Education
- University Technology Diploma (DUT)Université Mohammed Premier Oujda2026Intelligence Artificielle et Ingénierie des Données
Certifications
- Foundations: Data, Data, EverywhereGoogle2025
- Introduction to StatisticsStanford Online2024