Bridging analytical rigor with human understanding — from AI ethics in Big Tech to federal data forensics, higher education, and enterprise consulting.
Vermont · USA
I am a data professional with over fifteen years of experience spanning the federal government, big tech, higher education, and international development. My career has been defined by a commitment to using data as a tool for accountability, equity, and informed decision-making.
At Google, I built data pipelines and protocols for adversarial testing of AI/ML systems, contributing to the launch of the Product Fairness Testing Framework at Google I/O 2022. At the Department of Homeland Security, my forensic data analysis identified $35 million in fraudulent federal payments and earned the Inspector General's Honor Award.
Today, I teach data analytics and geospatial technologies at the Community College of Vermont while tinkering with python puzzles and data visualization projects.
From international development research to federal forensics, big tech AI ethics, and higher education — a career built on analytical depth and public impact.
Leading Workday implementation testing across 10+ functional workstreams, coordinating 2,400+ test cases for a multi-institution ERP deployment.
Building curriculum and delivering instruction in data analytics, database systems, data visualization, and geospatial technologies using Snowflake, Power BI, BigQuery, and Python.
Managed Workday HCM business process and security configurations, conducting comprehensive HR and ERP-level data audits for compliance and strategic decision-making.
Engineered data pipelines for AI/ML fairness testing, supporting the launch of the Product Fairness Testing Framework at Google I/O 2022. Mapped 40+ ML model architectures for adversarial testing.
Led forensic data analysis identifying $35M in fraudulent federal payments across 48,000+ claims. Awarded the 2019 Inspector General's Honor Award.
Managed federal data lifecycle for disaster assistance programs, developing surveillance applications to identify critical housing needs across 1M+ applications.
Through Lady Eloquence LLC, I offer specialized consulting services informed by experience across government, Big Tech, and academia.
Transform complex datasets into actionable insights through custom dashboards, statistical analysis, and compelling data narratives using Tableau, Power BI, and Python.
End-to-end Workday implementation support including HCM, Payroll, Benefits configuration, testing governance, and change management for higher education and enterprise.
Geographic data collection, analysis, and visualization for urban planning, disaster response, public health, and development using ArcGIS, QGIS, and Google Earth Engine.
Comprehensive evaluation of AI/ML systems for bias, fairness, and ethical compliance. Adversarial dataset curation and model ethnography informed by experience at Google.
Cloud-native data architecture design, database modeling, and pipeline engineering leveraging Snowflake, PostgreSQL, AWS, and GCP for startups and enterprises.
Curriculum development and instruction in data analytics, database systems, GIS, and computer science. Hands-on pedagogy with industry-standard tools.
Leading forensic data analysis and geographic visualizations exposing fraud networks involving millions of dollars
Data analysis and observations on the impact of Zero Tolerance Child Separation Policy
Outstanding cross-functional partnership in federal data analysis initiatives
Whether you need data consulting, ERP implementation support, AI ethics guidance, or curriculum development — I'd love to hear about your project.