Mark Endicott

Motivated student with a track record in financial management, kinesiology research, research presentations, and data analytics. Overall, seeking to leverage analytical skills and a passion for data-driven decision-making in health and wellness roles.

Data Science undergraduate with hands-on experience in data analysis, financial operations, and research support. Proven ability to manage and analyze datasets using Python, R, Excel, and version control tools like GitHub. Demonstrated success in developing dashboards, automating workflows, and presenting analytical insights in academic and operational settings. Collaborative team player with strong organizational, communication, and problem-solving skills, as evidenced by leadership in co-op housing management and contributions to motor learning and biomedical research. Eager to apply data-driven decision-making and technical expertise to solve real-world problems in a dynamic, growth-oriented organization.

Pursuing a Bachelor of Science in Data Science with a Minor in Information Technology at Michigan State University, graduating Fall 2026. Coursework emphasizes statistical analysis, computational modeling, programming, and algorithmic thinking—providing a strong foundation for data-driven problem solving. Gained hands-on experience with tools such as Python, R, and Excel through academic projects and research assistantships. Actively involved in applied research and interdisciplinary hackathons, reinforcing a practical understanding of data analytics, experimental design, and collaborative execution.