Michael George

Michael George is a skilled professional with a background in Operations Research and Information Engineering from Cornell University. He further honed his expertise by completing the machine learning specialization at Holberton School with a keen interest in data science and predictive analytics. Michael is an aspiring data scientist who has a strong educational foundation and practical experience in wealth management and mathematics instruction. His dedication to the field is evident from the articles he has written on machine learning and data, viewable on his Medium page.

During his academic journey, Michael pursued a Bachelor of Science (B.S.) degree at Cornell University focusing on Operations Research and Information Engineering. His minor in business complements his analytical skills and provides a holistic approach to problem-solving. Additionally, he deepened his knowledge by studying Machine Learning at Holberton School, showcasing his commitment to staying abreast of cutting-edge technologies and methodologies in the field.

Michael's professional experience includes roles such as a Wealth Management Intern at Morgan Stanley, where he gained practical insights into financial operations and investment strategies. Furthermore, his tenure as a Mathematics Instructor at Let's Get Ready reflects his passion for teaching and sharing knowledge with others. His diverse background also includes a summer internship at the Connecticut Institute for Communities, where he could apply his skills in a real-world setting.

With a solid academic foundation, practical experience in financial services, and a passion for data science, Michael George stands out as a promising professional in the field of predictive analytics and machine learning. His continuous learning journey and contributions to the domain through insightful articles highlight his dedication to personal and professional growth.