Case Studies

Case studies in measurable transformation

AI Strategy · Value Engineering

Problem: Enterprise sales teams lacked a standardized, defensible way to quantify solution value - every deal reinvented ROI math from scratch, slowing cycles and eroding credibility.
Approach: Designed standardized ROI frameworks (TCO, NPV, IRR) with parameterized industry benchmarking, sensitivity analysis, and governance controls - structured for MCP-ready workflows and natural-language business querying.
Outcome: Reusable value-engineering assets deployed across multiple enterprise engagements with 40% fewer recalculation errors.

PythonROI ModelingMCPSensitivity AnalysisBenchmarking

Business Impact

+20% estimate accuracy · +10% average deal size · 40% fewer recalculation errors

Solution Consulting · Enterprise AI

Problem: Enterprise buyers needed AI capabilities integrated into existing BI environments without disrupting entrenched Tableau and Power BI workflows.
Approach: Led consultative discovery across 7 strategic deals, designing solution architectures that layered LLM-driven intelligence over existing analytics stacks, with fault-tolerant runbooks and automated monitoring.
Outcome: Reduced solution turnaround time by ~40% and workflow downtime by 80%.

LLMsRAGTableauPower BIn8nPython

Business Impact

~40% faster turnaround · 80% less downtime · 3× engagement capacity

Data & Analytics · Product Strategy

Problem: Product and GTM leaders needed data-backed clarity on user challenges hidden inside large-scale behavioral datasets.
Approach: Led consultative research initiatives, translating large-scale data diagnostics into executive-ready narratives and KPI reporting frameworks.
Outcome: Influenced 25 product roadmap and GTM decisions; shortened reporting cycles by 35%.

SQLLooker StudioTableauGoogle AnalyticsGong

Business Impact

25 roadmap decisions influenced · 35% faster reporting

Automation · Financial Analytics

Problem: Manual financial close and forecasting processes consumed dozens of analyst hours monthly and introduced recurring reporting errors.
Approach: Built financial models, ROI frameworks, and automated forecasting solutions with variance analysis and quality assurance controls.
Outcome: Reduced monthly close effort by 27 hours/month and reporting errors by 60%.

Financial ModelingForecastingSQLVariance Analysis

Business Impact

$120K annual cost reduction · 18% forecasting efficiency gain

Years of Experience

Across AI, analytics & enterprise consulting

Enterprise Engagements

Strategic deals, workshops & advisory

Faster Solution Delivery

Avg. reduction in solution turnaround

Client Satisfaction

Measured across engagements