Summary
Lance Dooley is a multidisciplinary software leader and independent genealogical data researcher with nine years of documented experience in engineering management, data science, and historical analysis. He combines PMP® and PMI-RMP® project governance with hands-on Python and R tooling to drive SOX-compliant digital transformation programs and resolve complex data quality issues at scale. Currently blending production system stewardship at Accenture with independent research into probabilistic identity resolution, geographic clustering, and archival GIS-style reasoning, he bridges enterprise delivery and scholarly investigation. His background spans embedded firmware, 3D modeling, and arts education, giving him a rare mix of technical rigor and visual/analytical intuition. Based in San Antonio, Lance is preparing conference-grade publications from long-form archival analyses—an uncommon academic ambition for a practicing engineering manager.
8 years of coding experience
16 years of employment as a software developer
Foreign School - Advanced Trade Skill, Sculpture & 3 Dimensional Modeling, Foreign School - Advanced Trade Skill, Sculpture & 3 Dimensional Modeling at Florence Academy of Art
B.S., Electrical Engineering, B.S., Electrical Engineering at Washington State University
English, Italian