Tiffany Pirtle

Analytical professional with an M.S. in Data Science & Analytics, an active U.S. Department of Defense SECRET clearance, and experience converting ambiguous business needs into structured, data-informed solutions. Graduate training spans statistical inference, experimental design, regression, multivariate analysis, optimization, data management, and machine-learning fundamentals. Brings strong project ownership, stakeholder communication, and a demonstrated ability to learn unfamiliar domains quickly - from enterprise data architecture to federal acquisition. Actively developing knowledge of generative and agentic AI through research, hands-on experimentation, and personal projects.

• Global Space Launch Analytics, Graduate Project, 2022, Analyzed 4,324 global space-launch records from 1957-2020 using SAS and R to explore launch frequency, mission outcomes, country-level activity, and the growth of private-sector participation., Imported, validated, cleaned, transformed, and subset real-world data; removed a cost variable after determining that 78% of values were missing and documented the resulting analytical limitation., Applied frequency analysis and visualization to compare state-funded and private launch activity and communicated findings in a structured statistical report.
• Database Systems Design, Graduate Client Project, 2022, Worked on a three-person consulting team to assess a photography company's fragmented data environment and design a scalable, cloud-oriented database-management solution., Conducted stakeholder interviews and process analysis; translated business needs into a three-layer architecture, ERD, relational model, access controls, reporting requirements, and an implementation roadmap.
• Enterprise Knowledge Management, TD SYNNEX Capstone, 09/01/22 - 12/01/22, Collaborated on an NDA-protected capstone to develop scalable recommendations for standardizing and centralizing enterprise knowledge management and technical-support processes.