Luciano Lorenti

Senior Data Scientist @IndX

DE

Machine Learning Expertise: Designed, developed, and deployed machine learning models to address complex real-world challenges across various industries, with expertise in the following areas:* Predictive Maintenance: Developed models for monitoring aircraft component health and predicting Remaining Useful Life (RUL).* Defect Detection: Built a high-precision anomaly detection platform for identifying defects in industrial component images.* Reinforcement Learning: Optimized HVAC systems using reinforcement learning, trained with synthetic data from digital twins, and successfully deployed the control system into real-world environments.* Industrial Optimization:* Warehouse and Production Optimization: Optimized warehouse stock management and power core orders for slitted coils, reducing costs, minimizing scrap, and meeting production constraints.* Optimization for Product Planning: Developed gradient-free optimization platforms for product planning and scheduling using meta-heuristics applied to industrial digital twins.* Developed an Agent-Based System for Automated Scenario Analysis of Digital TwinsCreated an agent-based system to automate scenario analysis within digital twin models, enabling predictive insights and decision-making without manual intervention.* Digital Twin: Developed several digital twin models in industrial, health, and city planning contexts to enable scenario verification.+ Data Management: Designed robust ETL pipelines to handle 60 years of historical data.