Christopher Pegram

Direct client analytics strategies across multi-million dollar federal and state engagements, integrating machine learning, data strategy, and executive dashboarding to drive measurable operational and mission outcomes. Guide teams in designing actionable, insight-driven solutions that align with stakeholder priorities and mission outcomes.

• Effectively built and led high-performing analytics teams, delivering data quality frameworks, machine learning solutions, and operational dashboards for over a dozen federal and state clients.
• Spearheaded enterprise-level data strategy and dashboard development for agencies including the IRS and Department of Labor. Directed design of performance dashboards, equitable access KPIs, and procurement monitoring tools, resulting in clearer visibility, improved transparency, and greater alignment to strategic goals.
• Developed and deployed multiple supervised and unsupervised machine learning models—including NLP models leveraging TF-IDF, Word2Vec, and BERT embeddings—to automate feedback categorization, job classification, and workforce forecasting. Solutions improved decision-making efficiency, predictive accuracy, and insight generation across IRS, DOD, and FAA projects.
• Developed lessons and taught a class to hundreds of new hires on performing predictive analytics with machine learning.

Leveraged analytics to mitigate program costs and scheduling risks for $150M in annual funding and expenditure. Performed multiple analyses including funding profiles and sales forecasts. Mentored interns on data analytics.

Developed the newly created Senior Financial Analyst role. Reduced losses by originating the data modeling process for analyzing and evaluating companies that the agency funds.

Developed annual budget by partnering with department leads to prepare budgets that align with the strategic plan.

Project manager of financial system overhaul to align the organization's software library with modern analytical architecture. Ensured the new financial system returned accurate results by performing numerous scenario simulations and SQL queries.

Developed the methodology for damage calculation models used in successful class action lawsuits. Defined strategies that provided municipalities with analytics to determine the validity of potential financial damage claims.

Oversaw all accounting operations of the Early Lender Funding program. Generated financial reporting including 10K, 10Q, and various statements of cash flows.

Responsible for determining and contrasting collateral structures of financial instruments valued at $50B.

Managed spread and pricing movements on asset-backed, mortgage-backed, corporate, and derivative securities totaling $20B.