Daniel Torres holds a Master’s Degree in Applied Artificial Intelligence and a Bachelor’s Degree in Computational Robotics Engineering. Currently, they serve as an Associate Professor at Universidad EDEC, where they develop course materials and conduct research. Daniel is also a Senior Data Engineer at Chubb, focusing on designing scalable data solutions and mentoring junior engineers. With experience as a Business Data Analyst and Professor in various institutions, Daniel is well-versed in statistical analysis, data engineering, and machine learning. They have participated in numerous international collaborations and have delivered significant projects across multiple sectors.
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