Andrew Graczyk

Andrew Graczyk is a trained data scientist with a Ph.D. from the University of North Carolina at Chapel Hill, currently serving as the Practice Director at KForce, Inc. With a deep understanding of mathematical, statistical, and game theoretic principles, Andrew designs analytics solutions to help clients recognize patterns, identify problems, and make data-driven decisions with speed and precision.

Andrew's expertise extends to various areas, including DARPA-funded research projects and customer-facing products that utilize custom-trained machine learning models, natural language processing (NLP), network graph analytics, and more. He is also a skilled game theoretic analyst, adept at creating and understanding incentive structures within businesses, communities, and government entities. His proficiency in quantitative analysis, including Bayesian simulation, enables him to effectively gather, organize, and analyze data using different software and programming languages.

Beyond his technical expertise, Andrew's teaching and instructional experience make him skilled at condensing complex topics into essential elements and effectively conveying them to non-experts. His ability to gather, organize, and analyze data, as well as efficiently relay relevant information, makes him a valuable asset in any analytical or data-driven project.