Freelancer profile translated to English.
Back to original languageAbout Amani
📊 Data & Artificial Intelligence Trainer | Data Scientist | AI Developer
AI & Data Engineer and certified Professional Adult Trainer, I support companies and learners in understanding and leveraging data, as well as in developing digital skills.
With experience in modeling, Big Data processing, and developing analysis tools, I also design training courses and educational paths tailored to organizational needs.
✅ What I can do for you:
• Training in Data, Big Data, Python, SQL, and Artificial Intelligence
• Design of training materials and paths
• Data preparation and processing (ETL, automation)
• Data analysis and interactive visualization (Power BI, Streamlit, Seaborn)
• Development of Machine Learning models and custom AI projects
• Support for upskilling and simplification of technical concepts
💡 Pedagogical, rigorous, and attentive, I adapt to my clients' needs to offer concrete, operational, and results-oriented solutions and training.
📍 Based in Lyon, available remotely or on-site.
French
Native or bilingual
Can work on-site
Lyon (up to 50km)
Experience
- BFCLyonProfessional Adult Trainer (Internship)September 2025 - May 2026 (8 months)Lyon, France
- Design and delivery of training sessions
- Creation of educational materials and learning activities
- Individual and group learner support
- Assessment of learning and progress tracking
- Use of digital educational tools
This experience allowed me to develop skills in educational engineering, training facilitation, and simplification of technical concepts for diverse audiences. - [FabLab by Inetum Alternante]Data Scientist & AI DeveloperFebruary 2022 - February 2023 (1 year)Community Attrition Management• Developed Python scripts to extract and transform application data, ensuring user information quality.• Performed feature engineering tasks to prepare the database, creating custom functions.• Designed the data storage architecture in Delta Lake on Databricks, optimizing Big Data management.• Automated data processing using Workflows, increasing the efficiency of regular updates.• Defined user labeling criteria (active/inactive) based on business assumptions and observed behaviors.• Used Seaborn for visual data analysis, creating interactive dashboards to facilitate behavioral analysis.• Implemented a Machine Learning model to predict the evolution of inactive users, and tested several forecasting models (ARIMA, ARIMAX, FBprophet).• Integrated tools like Evidently AI to monitor model performance in production.• Created and deployed an interactive application with Streamlit for dynamic, real-time analysis management.Physical segment segmentation• Extracted geospatial data from OpenStreetMap.• Joined and enriched internal data for precise analysis.• Established segmentation and physical aggregation rules for road segments according to application needs.Interoperability in the IoT Cloud environment [LIRIS, Lyon - Internship]June 2020 - September 2020• Studied IoT ontologies and interoperability challenges• Chose the FIESTA-IoT ontology for integration into IoT systems• Extracted data using SPARQL queries• Integrated this ontology into the Android application and exploited the data
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Education
- RNCP Level 6 Title: AI DeveloperMicrosoft & Simplon.co2023Titre RNCP Niveau 6 Développeur En Intelligence Artificielle
- Master in Automated Systems EngineeringUniversité Claude Bernard2020Master Génie des Systèmes Automatisés