Summary
Daniel Lyczak is a data engineer with nine years of experience translating ambiguous, high-impact questions into reproducible analytics, automation, and strategic tools at Georgia Tech. His background spans business analysis and data science roles where he built governance, retention policies, predictive models, and end-to-end data lifecycles that improved decision-making and operational efficiency. Trained across multiple advanced analytics and computational degrees, he blends rigorous statistical thinking with practical engineering to prioritize the right tool for the job and lean, durable processes. Known for rapidly becoming a subject-matter expert, he emphasizes user-facing design and automation to boost comprehension and reduce repetitive work. Outside the office he maintains an active GitHub presence and a curious, student mentality—continuously learning to deepen both analytical breadth and technical depth.
9 years of coding experience
8 years of employment as a software developer
Master of Science - MS Computational Science and Engineering, Master of Science - MS Computational Science and Engineering at Georgia Institute of Technology
Bachelor's degree Philosophy, Bachelor's degree Philosophy at DePaul University
Master of Business Administration - MBA Business Administration and Management General, Master of Business Administration - MBA Business Administration and Management General at University of Illinois Urbana-Champaign