As a Data Analyst with a passion for harnessing the power of data, I thrive in translating complex datasets into actionable insights. My journey began at Luther College, where I pursued a Bachelor's in Data Science with a Statistics Concentration, honing my skills in Python, SQL, and Tableau. Achievements: Data-Driven Decision Making: Spearheaded data analysis as a student manager for the Box office, contributing to the optimization of marketing campaigns and achieving a 10% reduction in customer churn through predictive modeling. Network Systems Management: As an IT Intern at Luther College, I updated and maintained documentation for network systems, ensuring seamless troubleshooting and supporting efficient network management. Research Contributions: As a Data Science Research Assistant, I applied machine learning algorithms in Python to analyze unstructured astrophysics data, leading to a research paper presentation at the Luther College Learning Showcase. Interactive Data Visualization: Collaborating with cross-functional teams, I developed interactive Tableau dashboards as a Summer camp and Conference Liaison, providing real-time insights that influenced strategic decision-making. Machine Learning Applications: Implemented neural network applications using Captcha image datasets during coursework, achieving a 97% accuracy in identifying images and examining racial bias within documented arrests. As an aspiring data scientist and problem solver, I am driven by the pursuit of continuous learning and applying data-driven solutions that create a positive impact. I am enthusiastic about exploring new challenges and collaborating with diverse teams to uncover hidden patterns and drive growth. Let's connect and explore opportunities where I can contribute my skills and expertise!