Summary
Naser Erwemi is an analytics and business intelligence leader with nine years of data-focused experience and a decade-plus background in geophysics and microseismic monitoring. Currently championing Analytics & BI at Chevron, he blends advanced Python, Azure ML, SQL/NoSQL, and visualization skills with deep domain expertise in subsurface imaging, hydraulic fracture monitoring, and anisotropic velocity modeling. He has a track record of turning complex geoscience and big-data inputs into actionable dashboards and production-ready models, previously delivering BI solutions at Noble Energy and hands-on microseismic projects at Schlumberger. A tutor of data analytics and an active GitHub presence, he pairs practical teaching experience with tooling in Tableau, D3, Dash, and Petrel to accelerate team capabilities. Notably, his career bridges field-level seismic acquisition and enterprise analytics, enabling unique end-to-end perspectives on data-driven decision making.
8 years of coding experience
12 years of employment as a software developer
Data Analytics & Visualization, Data Analytics & Visualization at The University of Texas at Austin
Master of Science - MS, Analytics, Master of Science - MS, Analytics at Georgia Institute of Technology
English, Arabic