Enterprise program controls, financial intelligence, strategic analytics, and AI model evaluation. Explore original, interactive analytical systems built to be examined.
Three interactive applications. Real calculations, transparent methods, and synthetic data.
Explore 165 synthetic control accounts, multi-level work breakdown structures, earned-value performance, forecast sensitivity, and individual account drill-downs.
Regional KPIs, placement trends, operational drivers, and interactive growth scenarios.
Compare analytical responses, validate calculations, and examine transparent scoring.
Experience spanning aerospace program controls, healthcare operations, executive reporting, and AI quality evaluation. Independent demonstrations are clearly separated from employer work.
A synthetic 165-control-account program environment with earned-value management, WBS rollups, variance detection, and scenario-driven forecasting.
165 control accounts · 5 workstreams · 12 periodsRegional performance, placement outcomes, identification trends, and operational forecast sensitivities. Metrics use independent illustrative definitions.
6 regions · 12 simulated periods · illustrative 2026 scenarioInteractive numerical consistency checks, rubric-weighted assessment, and side-by-side examples of four analytical error scenarios.
Executable validators · transparent scoringIndependent case studies illustrating analytical judgment, model-output validation, rubric design, and structured quality feedback. These examples are original demonstrations, not reproductions of contracted assignments.
Original demonstrations · No client materialsChallenge: a model reverses the earned-value cost performance ratio, creating an incorrect favorable conclusion. Method: compare each reported metric with an independently calculated reference, flag sign errors, and explain the business impact.
Reference calculations Tolerance checks Executive interpretation
Challenge: a model uses identified requests instead of eligible requests as the placement-rate denominator, producing an impossible rate above 100%. Method: verify KPI definitions, reconcile the denominator, and document the error.
KPI governance Data validation Error taxonomy
A transparent example rubric separates numerical correctness from reasoning quality and clarity. The numerical component is calculated automatically; qualitative components are disclosed as illustrative human judgments.
The aerospace and healthcare environments demonstrate why model outputs must be reconciled to source calculations, well-defined business metrics, and traceable assumptions before they are used in executive reporting.
Professional foundation: Cost Account Manager experience with EVM, schedule integration, and financial reporting.
Independent evidence: 165 synthetic accounts, WBS filters, CPI/SPI, EAC sensitivity, account drilldowns, and CSV export.
Professional foundation: Healthcare operations analysis and leadership reporting.
Independent evidence: Region-level placement and identification measures, volume-weighted aggregation, trends, and scenario analysis.
Professional foundation: Analytical quality review and structured AI feedback.
Independent evidence: Four original error scenarios, tolerance-based checks, transparent rubric weights, and side-by-side comparisons.
These are independent examples of transferable analytical skills, not representations of specific employer or contractor deliverables.
Professional experience spans AI response evaluation, numerical consistency review, structured analytical reasoning, data quality assessment, and written quality feedback. Contracting organizations, private project names, proprietary prompts, internal rubrics, screenshots, client datasets, and assignment-specific methods are intentionally omitted unless expressly cleared for public disclosure.
Tiffany Holmes brings professional experience in aerospace program controls, healthcare performance analytics, executive reporting, and AI evaluation.
Lockheed Martin · Project Integrator / Cost Account Manager
Earned value management, cost and schedule performance, financial forecasting, control-account oversight, and executive reporting.
DaVita · Senior Analyst
Healthcare operations analytics, placement and identification metrics, performance drivers, and leadership reporting.
AI contract experience
Analytical response evaluation, data quality, numerical consistency, and structured feedback. Individual contracting organizations and project specifics are withheld pending agreement-by-agreement clearance.
Excel · Deltek Cobra · SAP · Microsoft Project · Smartsheet · Tableau · Anaplan · Snowflake · Jira · Confluence · Executive reporting
These applications are independently built demonstrations using generated synthetic data. They are not employer software, client deliverables, production implementations, or confidential records.
All calculations execute locally in the browser. The downloadable CSV files reproduce the modeled observations.
EVMS: BAC = sum of account budgets; PV = planned cumulative budget; EV = budgeted value of completed work; AC = cumulative actual spending; CV = EV − AC; SV = EV − PV; CPI = EV / AC; SPI = EV / PV; EAC = AC + (BAC − EV) / adjusted CPI; ETC = EAC − AC. Zero denominators yield unavailable values. Account time series use deterministic synthetic progress and spending curves, and program metrics are recomputed from underlying accounts rather than averaging account indices.
Healthcare: Identification rate = identified requests / eligible requests; placement rate = placed requests / eligible requests. All outcomes are mutually exclusive illustrative categories; monthly counts are generated at the region-month level. Scenario placement improvement adjusts projected rates, not historical outcomes.
AI evaluation: numerical validation compares explicitly supplied candidate values to reference calculations with defined tolerances; scoring combines accuracy (60%), reasoning completeness (25%), and presentation clarity (15%). This is a demonstration of evaluation methodology, not a benchmark of any named commercial model.