Sam Ellick

Data Scientist

Sam is a Data scientist at Agrimetrics where his two main responsibilities are the construction and maintenance of internal data pipelines, and the research and development of novel strategies to model agricultural data. He particularly enjoys learning about cutting-edge data science and machine learning techniques used in other fields (e.g. computer vision), and thinking about how to apply these to challenges presented at Agrimetrics. Sam's academic background in Chemistry, principally hyphenating mass spectrometry with modern data science techniques.

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