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Samuel Neff is a seasoned machine learning engineer with extensive experience in data science and analytics. Currently serving as a Senior Machine Learning Engineer at Atomic, Samuel has previously held roles as a Data Scientist at Applied Invention, where significant advancements in predictive model accuracy were achieved, and as a Data Science Fellow at Fifth Partners, focusing on database implementation and sentiment analysis. Samuel's background includes internships and research positions that emphasize computational techniques and machine learning applications. Educational credentials include a Bachelor's degree in Vocal Performance and Computer Science, alongside a Master's degree in Computer Science from Brigham Young University, complemented by a certification in Full Stack Web Development from freeCodeCamp.