Lee Tanenbaum is a seasoned Machine Learning scientist and engineer currently serving as the Global Director of Data Science and Analytics at Anheuser-Busch InBev. In this pivotal role, Lee leverages his extensive expertise to drive commercial optimization initiatives that enhance operational efficiencies and maximize return...
Lee Tanenbaum is a seasoned Machine Learning scientist and engineer currently serving as the Global Director of Data Science and Analytics at Anheuser-Busch InBev. In this pivotal role, Lee leverages his extensive expertise to drive commercial optimization initiatives that enhance operational efficiencies and maximize return on investment. One of his key projects involved developing custom TensorFlow models to analyze the relationship between commercial investments and sales performance. This innovative approach not only yielded an impressive average efficiency improvement of 19% across all investments but also showcased Lee's ability to translate complex business challenges into actionable data-driven solutions.
With a strong foundation in machine learning methodologies, including support vector machines (SVM), unsupervised learning, and computer vision, Lee excels in designing and implementing scalable data systems. His proficiency in programming languages such as MATLAB, Java, and C, coupled with his expertise in data visualization and classification techniques, empowers him to lead cross-functional teams in transforming raw data into strategic insights.
In addition to his corporate responsibilities, Lee is dedicated to fostering the next generation of data scientists through his teaching role at Columbia University. He actively collaborates on research projects with renowned experts like Kyunghyun Cho, further solidifying his position as a thought leader in the field. Lee also shares his knowledge and insights through his blog on Medium, where he discusses the latest trends and advancements in data science and analytics. His multifaceted career reflects a commitment to innovation and excellence in the ever-evolving landscape of data-driven decision-making.
