As a Data Programmer at University of North Alabama, I support the data analytics team in developing and maintaining data pipelines, databases, and dashboards. I use SQL, Python, and R to extract, clean, and transform data from various sources, and apply statistical analysis and predictive modeling techniques to uncover patterns and trends. I also create and present data visualizations using Microsoft Power BI and Microsoft Power Automate to communicate insights and recommendations to stakeholders.I have a strong background and passion for data analytics, with two Bachelor of Business Administration degrees in Data Analytics, one from Arkansas Tech University and another from University of North Alabama, where I am currently enrolled. I have also earned multiple certifications in data science, data warehouse, and machine learning from DataCamp and Snowflake. During my internships at Snapbrillia, I worked on building a recommendation engine and a machine learning implementation for app development, using PyTorch and other tools. I enjoy the process of growth and learning, and I am committed to expanding my knowledge and skills in the ever-evolving field of data analytics. I thrive in collaborative environments, where I can apply my analytical skills to solve real-world problems and drive business growth.