About

Caroline Sofiatti is an experienced Machine Learning Engineer at Apple, with a strong background in research science and data analysis. She holds a Master’s degree in Astrophysics from a Nobel Prize winning lab, and has a demonstrated history of using data to provide valuable business insights and develop product features. Caroline has worked with a range of companies in the tech industry, including Computable and Noon Home. At Computable, she was involved in building a decentralized data marketplace for artificial intelligence applications, using blockchain and distributed systems technology. At Noon Home, she served as Head of Data Science, reporting regularly to the CEO and leading product analytics while developing and testing production machine learning algorithms in Java for time-series classification. She also created algorithms for predicting user behavior, prototyped in Python, and supported marketing, customer support, and operations teams. Caroline’s education history includes a Master’s degree in Physics from the University of California, Berkeley, a Bachelor of Science in Physics from UMass Boston, and studies at the Universidade Federal do Espírito Santo. Her technical skills include expertise in ML, research science, data science, blockchain, decentralised systems, Java, and Python. Caroline has 5.37 years of relevant experience in the tech industry, and is passionate about using data to drive innovation and create value for businesses and society.