As a Research Assistant at South Dakota School of Mines and Technology, I am passionate about applying machine learning to solve uncertainties in complex geological environments. I am currently working on a project that uses supervised and unsupervised learning algorithms to model and optimize geothermal reservoirs, with the goal of enhancing renewable energy production and reducing greenhouse gas emissions.I use my skills in data analysis, Python programming, and geological engineering to conduct feasibility studies, evaluate resource potential, and design subsurface geological systems. I have contributed to several projects, including one that secured a large contract from a major utility company. I am pursuing a MS degree in Geological Engineering at South Dakota School of Mines and Technology. I am eager to learn more about the current trends and innovations in AI, and to apply my knowledge and skills to real-world problems. I am open to working in the Geological/Mining Engineering industry.