Luciano Lorenti is a Senior Data Scientist based in Berlin with 11 years of experience applying machine learning and optimization across manufacturing, healthcare, urban planning and advertising. He designs end-to-end solutions—from ETL handling decades of historical data to deploying models and web interfaces—and has a track record of reducing downtime, cutting material waste, and boosting revenue. Notable projects include RUL prediction for aircraft components, a high-precision defect detection platform, reinforcement-learning HVAC control trained on digital twins, and agent-based automated scenario analysis for industrial twins. He blends research rigor (PhD work in unsupervised learning and spectral clustering) with product delivery, having improved CNC tool usage by 20% and deployed real-time IoT anomaly detectors. Comfortable engaging directly with clients and mentoring teams, he often bridges data science and software engineering to put models into production. A less obvious strength is his repeated use of synthetic data and digital twins to safely train and validate control and optimization systems before real-world rollout.
11 years of coding experience
10 years of employment as a software developer
Licenciado en Informática, Informática, 8.3, Licenciado en Informática, Informática, 8.3 at Facultad de Informática within Universidad Nacional de La Plata
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