I am a data scientist with a master's degree in Information Technology and Management, specializing in Data Science, from The University of Texas at Dallas. I have a strong background in data analysis, engineering, visualization, and science. Proficient in Python, SQL, Tableau, Power BI, Power Query, DAX, Power Automate, Power Flow, and Docker. I worked as an open-source collaborator at NASA Jet Propulsion Laboratory, where I collaborated in designing and optimizing workflows for LLM models using open-source data. I also worked as a Business Intelligence Analyst at Pacific Gas and Electric Company, where I conducted an in-depth analysis of pole and tree inspection data, enabling executives to make informed and efficient maintenance decisions. Previously, I interned at Tesla, where I developed and implemented data models for collecting procurement and project data from multiple data sources, reducing the data load time by 85%. I also analyzed and presented trends and insights from procurement and construction data to Tesla leadership, identifying process improvement opportunities and cost savings. I am passionate about applying data science to solve real-world problems and creating value for organizations and society. I am always eager to learn new skills and technologies and to collaborate with diverse and talented teams. My goal is to leverage my data science skills and experience in the space and energy sectors to contribute to innovative and impactful projects.