Keaton Cheffer is a data scientist and software engineer with eight years of experience applying machine learning and deep learning to geophysical problems. Based in Houston and studying Geophysics at Texas A&M with a Computer Science minor, he bridges domain expertise and production engineering across roles at MicroSeismic, Capgemini Engineering, Tessella, and earlier frontend work at Nxed. He has progressed from front-end development to senior data science roles, delivering applied ML solutions for subsurface monitoring and consulting on data-driven projects. Known as a pragmatic problem-solver, he combines field-focused geoscience understanding with hands-on model development and scalable software practices.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS, Geophysics, Bachelor of Science - BS, Geophysics at Texas A&M University
Contributions:1 push, 1 branch in 2 years 3 months
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