Steven is an Expert Data Analyst and Geophysicist with over 20 years of experience, demonstrating advanced proficiency with SQL, and Python, along with a comprehensive grasp of business analytics through tools such as Power BI and Tableau, has played a pivotal role in converting complex datasets into strategic business intelligence. These insights have been highly valuable across various industries, showcasing his ability to meld technical analysis with growth strategies effectively. His specialized experience in subsurface imaging, enhancing his data analytics expertise, allows Steven to further develop and manage sophisticated geophysical technology and guide peers as a Learning and Development Manager. His dedication to advancing industry knowledge and fostering a culture of continuous learning and innovation is evident.

With Steven’s educational foundation, with degrees from the University of Texas at Austin and the Colorado School of Mines, focusing on Energy and Earth Resources and Geophysical Engineering with a minor in Math and Geology, underpins his professional achievements. His career is marked by the development of machine learning models for sentiment analysis and categorization, strategic planning for natural gas storage and transportation, and the publication of his thesis on monetizing stranded natural gas. A member of esteemed organizations such as INFORMS, the International Association of Energy Economics, and the Society of Exploration Geophysicists, Steven remains closely connected to industry trends and methodologies. His expertise in data visualization, statistical analysis, ETL processes, and machine learning makes him an asset for organizations seeking to enhance their data-driven decision-making processes. Steven unyielding commitment to excellence, innovation, and leadership has significantly impacted the industries he serves, consistently pushing the envelope in data analysis and geophysics.