Through systematic analysis of federal procurement data, I identified significant discrepancies between the Department of Government Efficiency's claimed $55 billion in savings and actual contract values. Using transparent data analysis methodologies with public GitHub repositories, I found the actual potential savings ranged from $1.9B to $7.7B - a discrepancy of up to $53 billion.

This analysis involved extracting and cross-referencing data from the Federal Procurement Data System (FPDS), collaborating with ML/AI specialists for complex contract parsing, and maintaining full transparency through open-source documentation. The iterative analysis process included responding to feedback and additional scrutiny, revealing fundamental misunderstandings in how DOGE calculated contract values and demonstrating the critical importance of methodological rigor in government efficiency claims.

Key outcomes: Revealed major transparency gaps in government reporting, demonstrated methodological rigor in policy analysis, established model for collaborative fact-checking, and contributed to public discourse on government accountability and data accuracy.

• Links: Read the full analysis: [Initial Analysis] | [Updated Findings]

• Data: View methodology and data on GitHub

• Skills demonstrated: Quantitative analysis, government data analysis, transparent research methodology, policy evaluation