Freelancer profile translated to English.
Back to original languageAbout Tarik
Creator of business AI agents and Machine Learning engineer. I develop complete AI solutions: data preparation, predictive models, MLOps, FastAPI APIs, Streamlit dashboards. Experience in supply chain and intelligent automation.
French
Native or bilingual
English
Conversational
Arabic
Native or bilingual
Remote only
Primarily works remotely
Experience
- SOJAKBRO SARLAI EngineerFebruary 2024 - January 2026 (1 year and 11 months)Python · PySpark · MLflow · FastAPI · Docker · StreamlitDevelopment of an end-to-end AI solution for textile supply chain optimizationAutomated ETL pipeline (PySpark, Parquet)Multi-task ML models (sales forecasting, product scoring, NLP, anomalies)Implementation of an MLOps chain: model tracking and registry (MLflow), automated ML pipeline, API containerization (Docker)Deployment of a business AI agent and Streamlit dashboardResults: -30% overstock | -25% stockouts | +15% availability | 40% automation
- CERN,Physical Measurements TechnicianJanuary 2018 - January 2019 (1 year)Measurement of noise with a sound level meter in CERN facilitiesManagement of appointments with TSOs (Territory Safety Officers)Writing reports on WordData recording on EDMS, Excel, and GIS
- SNCFMaintenance TechnicianTRANSPORTATIONJanuary 2008 - January 2016 (8 years)Dynamic and static measurements on power electronics assemblies and data recording in the CMMSCreation of a reassembly repository for electronics assemblies.
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Education
- Master Data Scientist, spécialité Ingénierie IAOpenclassroom2023Développement de modèles de scoring et segmentation client – Olist Segmentation comportementale des clients via analyse RFM (Recency, Frequency, Monetary) et clustering (K-Means, hiérarchique, DBSCAN). EDA, gestion des outliers, standardisation (StandardScaler) Réduction dimensionnelle (PCA), validation par silhouette score Création de 4 segments métier : Diamant, Or, Argent, Bronze Recommandation de mise à jour bimensuelle du modèle Cadrage IA – Application mobile de recommandation vestimentaire Cadrage stratégique d’un projet IA présenté au COMEX pour recommander des vêtements via photo. Définition des KPI business : conversion, panier moyen, marge, abandon panier Gestion Agile / SCRUM : backlog, sprints, rétrospectives Analyse des ressources, risques, aspects RGPD et éthiques Amélioration d’un produit IA – Start-up Avis Restau Optimisation d’une plateforme via analyse d’avis clients et labellisation d’images. NLP : détection de sujets d’insatisfaction (LDA, TF-IDF), filtrage via API Yelp Computer Vision : features via SIFT, réduction de dimension (PCA, t-SNE), K-Means Comparatif de modèles : VGG16 pré-entraîné : précision 45% Transfer Learning : précision 89% SIFT seul : 10%
Skill set
Categories
- Other