Summary
Curtis Alexander is a Principal Business Intelligence leader with over 15 years of experience blending data science, analytics, and credit risk management to deliver measurable business impact. He has led cross-functional teams and built production-ready decision engines, simulators, and reproducible data pipelines that shortened time-to-decision and improved underwriting performance. Curtis combines a strong statistical foundation (MS in Statistics) with hands-on programming—authoring Python and R tools for backtesting, portfolio simulation, and transaction-level verification rules. He has driven both strategic change (reworking sales and credit strategies) and technical best practices (centralizing code, automating pipelines) across fintech and auto finance firms. Based in Fayetteville, AR, he pairs a practitioner’s curiosity for new languages and techniques with a proven ability to translate complex analytics into auditable, business-friendly solutions.
11 years of coding experience
13 years of employment as a software developer
Master of Science - MS Statistics, Master of Science - MS Statistics at Texas A&M University
Bachelor of Science - BS Mathematics, Bachelor of Science - BS Mathematics at Texas A&M University-Corpus Christi