Mohamed A. Elseifi is a Senior Applied Scientist at Amazon, where he specializes in developing deep neural network models to predict conversion probabilities in advertising. With expertise in addressing data sparsity issues and leveraging hierarchical data structures, Mohamed has built robust conversion rate estimators and Bayesian models to enhance prediction accuracy. Previously, he held the role of VP of Science and Research at Veros Software, where he pioneered machine learning models for real estate valuation and automated trading agents, incorporating deep learning, computer vision, and reinforcement learning techniques.
Mohamed has over two decades of experience across a variety of roles, including adjunct faculty positions at institutions such as Southern New Hampshire University and Colorado State University Global, where he teaches courses in data analytics, machine learning, and business intelligence. His broad teaching portfolio spans quantitative analysis, statistics, and artificial intelligence.
Mohamed is also a Chartered Financial Analyst (CFA) and holds a Ph.D. in Engineering from Virginia Polytechnic Institute. He resides in California and enjoys working on projects that combine his passion for machine learning with real-world applications. In his free time, he likes to explore new technologies, and to spend time at the beach.
Mohamed has over two decades of experience across a variety of roles, including adjunct faculty positions at institutions such as Southern New Hampshire University and Colorado State University Global, where he teaches courses in data analytics, machine learning, and business intelligence. His broad teaching portfolio spans quantitative analysis, statistics, and artificial intelligence.
Mohamed is also a Chartered Financial Analyst (CFA) and holds a Ph.D. in Engineering from Virginia Polytechnic Institute. He resides in California and enjoys working on projects that combine his passion for machine learning with real-world applications. In his free time, he likes to explore new technologies, and to spend time at the beach.