aymane outani

Telemedicine & Medical AI Specialist Expert in AI solutions and Big Data for healthcare (Moroccan Ministry of Health): Symptomator: AI symptom checker. MySkinAI: Drug and interaction analysis for dermatology. RetinAI: Retinal disease detection. HC+: OCR and signal processing for data automation. Medical LLM: Language model for medical decision-making. ECG Anomaly Detector: Real-time cardiovascular diagnostics. Brain Fetal Anomaly Detection: DICOM ultrasound analysis. Drug Interaction Checker: AI-based drug interactions. Big Data Pipeline: Scalable medical data management.

AI, Big Data, and IoT Specialist in Healthcare and Automotive Sectors Experience with Aptiv, Managem, and the Moroccan Ministry of Health. Computer Vision & Signal Analysis: Expertise in medical image segmentation, object detection, and signal processing. MLOps & Deep Learning: Developed AI solutions and workflows, including Tiny AI for embedded systems. Big Data & Dashboards: Built dashboards with Power BI, ETL using Python, Airflow, Docker, and Kafka for IoT sensor data. Vaccine Monitoring System: Designed a system for monitoring vaccines during transport/storage using temperature sensors, MQTT/Kafka, MongoDB for data storage, anomaly detection models, React-based platform, and Power BI . Operational Research: Optimized arsenic levels in mining with time series prediction and mathematical models for Managem.

Meteorological Data Solution Specialist in Automotive Testing Experience with Stellantis (Peugeot and Citroën). Developed a meteorological and geospatial data solution for vehicle testing optimization. Collected data via web scraping and stored it in Azure Cloud using Azure Data Factory and Azure SQL. Applied clustering-based predictive models for research purposes. Visualized insights through Power BI and deployed as a web application.

Data Scientist in Banking Sector Visualisation forecasting Trading 📈📈📊