Summary
Daniel Pass is a seasoned data professional with 13 years of experience translating complex datasets into actionable insights across finance, higher education, aviation, and digital media. Currently a Data Warehouse Business Analyst in Cybersecurity at Truist, he combines advanced statistical modeling (regressions, clustering, time-series) with automation and dashboarding to detect threats, streamline reporting, and reduce manual effort. Proficient in R, Python, SQL, and SAS, he has a track record of building automated reporting pipelines—one R-driven solution saved thousands of hours by auto-generating client slide decks. He also has hands-on experience leading and onboarding analyst teams to proactively safeguard business processes. Based in Santa Monica, Daniel blends technical rigor with C-level communication to turn analytics into measurable business outcomes.
12 years of coding experience
2 years of employment as a software developer
Bachelor of Science (BS), Statistics and Sociology, 3.4, Bachelor of Science (BS), Statistics and Sociology, 3.4 at Kennesaw State University
Spanish, English