About

James A. Rolfsen is a Senior Algorithms Engineer at Literati, with over 9 years of experience in the field of data science. With a background in economics and political science, James has developed expertise in machine learning, AI, and statistical models. He is passionate about solving complex problems and developing custom algorithms that can be deployed as APIs or data pipelines. James is a seasoned professional in the field of machine learning, with a deep understanding of what works in the real world and what doesn't. He has a track record of building, training, and leading machine learning teams that deliver results to his company's bottom-line. His experience has taught him that cookie-cutter solutions rarely work for complex problems, which require rigorous deconstruction and systematic planning. Currently, James and his team are focused on the quantum physics of online retail. They have access to market data that is rivaled only by Amazon, and they use this data to write computational APIs that predict the behavior of consumer markets, execute decisions, and learn automatically over time. James is a Python enthusiast, and he enjoys writing more Python than English on a good day. He is also a coffee lover and a fan of whiteboards, which he uses to sketch out his ideas and develop custom algorithms. James is a data science consultant at Literati, where he is developing experimental systems to optimize operations, planning, and product curation to deliver maximum value to the customer while growing a profitable business. He has also served as a technical advisor in machine learning at Greycroft. James has a Bachelor's degree in Economics and Political Science from Creighton University. He welcomes opportunities to speak to students and share his experience in the field of data science.