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Brayden Nicholl is a skilled data scientist with experience at Caltrol Inc. since August 2022, where impactful contributions include implementing a cloud-based data processing infrastructure that has saved clients over $30,000 monthly and using machine learning to model manufacturing data, resulting in significant annual savings through reduced production downtimes. Prior to Caltrol, Brayden worked as an Associate Machine Learning Developer at AltaML, delivering an end-to-end machine learning solution that decreased equipment downtime by up to 85% and enhancing prediction capabilities. Earlier experience as a Data Analyst at Faithful+Gould involved creating interactive market reports and developing machine learning models for cost forecasting. Brayden holds a Master of Science in Applied Statistics from UCLA and a Bachelor of Arts in Mathematics from California State University, Fullerton.