Summary
Oscar Vasquez is a data engineer with eight years of experience who blends a geophysics background and advanced academic training in computer science to build data-driven solutions for energy and finance domains. He has transitioned from field geophysics to applied data science and cloud-native engineering, currently contributing at S&P Global and IHS Markit after roles as an associate data scientist and geophysicist. Oscar leverages an MSc in Applied Geophysics, a CS master’s from Georgia Tech, and a data analytics bootcamp to bridge domain expertise with machine learning and scalable data pipelines. Based in Houston, he is equally comfortable interpreting seismic data and optimizing ETL workflows, bringing a practical experimental mindset to production analytics. Notably, his trajectory reflects a deliberate shift from domain science to production-grade data engineering, underscoring strong adaptability and cross-disciplinary problem solving.
8 years of coding experience
2 years of employment as a software developer
Data Analytics Bootcamp Certification Course, Data Sciences, Data Analytics Bootcamp Certification Course, Data Sciences at The University of Texas at Austin
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Georgia Institute of Technology
Bachelor of Science (BSc), Geophysics, 3.1/4.0, Bachelor of Science (BSc), Geophysics, 3.1/4.0 at Texas A&M University
Master of Science (MSc), Applied Geophysics, 4.0/4.0, Master of Science (MSc), Applied Geophysics, 4.0/4.0 at Memorial University of Newfoundland
English, Spanish, French