Juan is a Data Scientist and Mechatronics Engineer specialized in delivering impactful machine learning solutions across various industries, including renewable energy, cybersecurity, and entertainment. With a solid foundation in statistics, machine learning, and data engineering, Juan has successfully tackled complex problems such as people detection in safety systems, fault prediction in industrial wind turbines, fraud analysis in public procurement, and protection against malicious network activity.Juan thrives on extracting value from data, discovering hidden insights through data visualization, and building models to solve meaningful challenges. He is passionate about automation, efficiency, and using technology to drive innovation, which has led him to colaborate with companies such as Disney, Huawei, Globant and Telconet LATAM.Key Achievements:- Developed a deep learning algorithm for early fault detection in wind turbines, reducing maintenance costs by 90%.- Led a data science team to create anomaly detection models, increasing cybersecurity alert effectiveness by 80%.- Improved by 10% the performance of an object recognition model for safety purposes, by fine tuning a YOLOv5 model on AWS Sagemaker.- Detected fraud in procurement data from 100+ public entities in Ecuador, promoting transparency.- Implemented a system to identify and mitigate malicious IPs targeting a corporate network.