I am passionate about the overlap between technology, business, and humans, and how data can be used to solve real-world challenges and create value. My goal is to apply my knowledge and experience in data analytics and engineering to innovative and impactful projects that make a difference in the world. As an Analytics Engineer Intern at CVS Health, I collaborate with the data and analytics team to deliver data-driven solutions for various business problems. I leverage my skills in data science, and machine learning to create data pipelines, perform data analysis, and build predictive models using large and complex datasets. Previously, I worked as a Data Analytics Engineer at Crux Intelligence, a startup that provides a natural language interface for data analytics. There, I contributed to several projects that improved the customer experience, led to 100% account renewal and growth, and enabled 1200 users across five countries to analyze their sales performance KPIs. I also mentored 250+ students as a Graduate Teaching Assistant at Texas A&M University, where I am pursuing my Master of Science in Management Information Systems.