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Building intelligent solutions for engineering through Machine Learning & Data Science. |
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I am a Petroleum Engineer focused on applying machine learning and data analytics to understand, predict, and optimise oil and gas well performance. My work centres on intelligent well engineering, where data-driven models support production forecasting, reservoir analysis, and engineering decision-making.
Research Interests • Intelligent Well Engineering • Machine Learning • Data Science • Production Forecasting • Reservoir Analytics • Scientific Computing |
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Machine learning and data-driven analysis for geothermal resource assessment, district energy planning, and engineering decision support. Tech: Python • Machine Learning • Data Science View Repository → |
Machine learning workflows and data analytics for petroleum engineering using the Equinor Volve Field dataset, with a focus on production forecasting and well performance analysis. Tech: Python • Machine Learning • Petroleum Engineering View Repository → |
