I'm Nigel Harris, and I've had an incredible journey from playing in the NFL to pursuing a second bachelor's degree in Business Analytics and Information Systems. After spending several years in professional football, I decided to embark on a new path and dive into the world of analytics. I've always had a passion for data analysis and a curiosity for understanding consumer behavior. My time in the NFL taught me the importance of discipline, teamwork, and strategic thinking. These skills have seamlessly translated into my pursuit of business analytics. I realized that my analytical mindset and ability to make quick decisions under pressure could be leveraged in the realm of consumer analytics. I am currently enrolled in a rigorous program to earn my second bachelor's degree. Through this program, I am acquiring a deep understanding of various analytical tools such as data visualization, various computer language skills, statistical techniques, and data management systems. I am honing my skills in interpreting large datasets and extracting valuable insights that can drive business decisions. My ultimate goal is to secure a position as a senior analyst, where I can apply my knowledge and skills in a practical setting. I am eager to work with a team of professionals who share my enthusiasm for leveraging data to understand consumer preferences, identify trends, and optimize business strategies. I believe that my unique background in professional football, coupled with my dedication to learning and growing in the field of analytics, sets me apart as a candidate. I am confident that my experiences on the field, where I learned the value of perseverance, adaptability, and continuous improvement, will serve me well in the corporate world. I am excited about the opportunities that lie ahead and the chance to make a meaningful impact in consumer analytics. By combining my passion for data analysis with my business acumen, I am confident that I can contribute valuable insights that will drive growth and success for organizations in today's data-driven landscape.