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Matthew Mendoza

Data Scientist, AI and Machine Learning Engineer, Physicist.

Dr. Matthew Mendoza is a highly skilled Senior Data Scientist at Southern California Edison with a background in physics, particularly in nuclear/particle physics.

With a Doctor of Philosophy (Ph.D.) in Physics from the University of California, Riverside, Dr. Mendoza transitioned seamlessly into the field of data science, recognizing the importance of big data analytics in interpreting complex data from particle colliders.

He excels in utilizing cutting-edge computer science tools and statistical methods to process and analyze vast amounts of unstructured data with scientific rigor and innovative mathematical approaches.

In his current role, Dr. Mendoza has demonstrated proficiency in using machine learning techniques such as ensemble methods to predict equipment failures, improve reliability, and modernize data stores at Southern California Edison.

He has pioneered a bias-agnostic, data-driven methodology for identifying key performance metrics, showcasing his mathematical creativity and computer science expertise.

Dr. Mendoza's unique blend of physics knowledge, computer science skills, and data science proficiency enables him to engineer detailed, physics-based features that enhance risk models effectively.

Besides his professional achievements, Dr. Mendoza has previously held roles in various organizations where he has showcased his diverse talents, from being a data scientist to serving in music-related positions.

Matthew Mendoza
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Location

Los Angeles Metropolitan Area