Hello, I'm a technical professional supporting KBR Inc. as a data science analyst. Through this position, I have leveraged skillsets in machine learning, software engineering, and project management to mine data, develop models, build and deploy applications for task automation. In this way, I have helped drive the transition from legacy Excel model development to Python/SQL workflows building ETL pipelines and modeling data to drive business value to my organization. I enjoy tackling complex projects by identifying clear problem statements and use cases, designing effective system frameworks, and applying my skill set to deliver innovative solutions.

I have a Computational Engineering degree from the University of Texas at Austin, an interdisciplinary program in computer science, statistics, and mechanical engineering. I am well-versed in a multitude of both scripting programming languages (Python, R) and compile programming languages (C++, Fortran, Java, and Swift), and have experience employing these skills for applications in applied statistics, software engineering, numerical methods, and more! I am also comfortable with using applied science software applications in Matlab for matrix computations, Docker, Kubernetes, and Version Control for CI/CD, and Redis NoSQL, MSSQL Server for database development and maintenance.