About

Andrew Tan is a highly accomplished Co-Founder at Ladder, a professional community platform designed to help the next generation find opportunities, learn from industry experts, and grow their careers together. With a passion for technology and innovation, Andrew has gained over 7.61 years of relevant experience in the field of Data Science, Product Management, and Research Science. Andrew's academic background includes a Master of Science in Computer Science from Stanford University, where he also served as a Graduate Teaching Assistant for courses such as Artificial Intelligence and Natural Language Processing. He also holds a Bachelor of Arts in Computer Science (Honors) and Statistics from the University of California, Berkeley. Additionally, Andrew completed an Entrepreneurship program from the Massachusetts Institute of Technology. Prior to co-founding Ladder, Andrew worked as a Data Scientist at Sequoia Capital's Talent Network, where he honed his skills in data analysis and management. He also gained valuable experience as a Graduate Teaching Assistant at Stanford University School of Engineering. Andrew's impressive tech stack includes expertise in Data Science, Product Management, and Research Science. He is a highly skilled professional with a proven track record of success in various roles. As a Co-Founder of Ladder, Andrew is passionate about creating a platform that empowers the next generation of professionals to achieve their career goals. He is dedicated to building a community that fosters growth, learning, and collaboration. Andrew's vision for Ladder is to create a platform that connects professionals with industry experts and provides them with the tools they need to succeed.