Yassine ALLANI

Truck parking intelligence – ML and data engineering. - Parking ranking microservice (FastAPI, GCP Cloud Run) for B2B client pipeline - Time-series forecasting for parking occupancy prediction - Internal data review tool (PyQt5, OpenAI GPT-4o, Firebase, MongoDB) - Company enrichment pipeline with fuzzy deduplication (RapidFuzz, GPT-4o) - Make.com automation for driver onboarding via Auth0 API - CI/CD with GitHub Actions, MLflow, DagsHub on GCP

ML-Driven optimization for a sports court booking platform. - Price optimization model using ML for dynamic pricing by day and location - Cancellation prediction model to identify at-risk bookings - Hybrid recommendation system (collaborative + content-based filtering) - Deployed all models as Flask microservices on AWS Elastic Beanstalk - MLflow, DVC, DagsHub for experiment tracking and model versioning - CI/CD with GitHub Actions