Summary
Daniel Balogh is a Business Intelligence Statistician with 11 years of experience applying rigorous statistical methodology and research design to business problems, currently at Afni in Tucson. He specializes in R-driven analytics—time series, anomaly detection, simulations, regression, machine learning, and high-volume text/topic modeling—paired with robust visualization and experiment design. His background blends academic teaching in operations and optimization with hands-on forecasting, capacity modeling, and NPS analysis, enabling practical, profit-focused process improvements. Certified across multiple Data Science disciplines and trained in high-dimensional and matrix-based methods, he brings depth in inference as well as applied modeling. Beyond routine analytics, he emphasizes appropriate test design and sensitivity analysis to ensure results drive reliable decisions. Colleagues will find him unusually skilled at translating complex statistical outputs into compact, actionable business reports.
11 years of coding experience
1 year of employment as a software developer
The University of Arizona
Bachelor of Science (BSc), Business and Economics, Bachelor of Science (BSc), Business and Economics at University of Pecs
Business Consulting, market strategy, business analysis, Business Consulting, market strategy, business analysis at Ohio University
English, German, Hungarian