Experience in geophysical data processing and coding, with strong proficiency in Python and additional experience in Shell scripting and C. Worked with a variety of geophysical equipment and methodologies, contributing to projects including CO₂ Enhanced Oil Recovery (EOR), geophysical survey design, machine learning applications, and distributed fibre optic sensing (DFOS). Proficient in Kingdom 2022, Petrel, Jupyter Notebooks, and ArcGIS. Experienced in field techniques, instrumentation, data analysis, and geological and surface mapping. A strong communicator and collaborative team member, adaptable to varied project requirements.