Building the Operating System for Innovation.

I don't just manage tickets; I design the architecture for delivery. As a Senior TPM, I transform ambiguity into rigorous execution frameworks, ensuring teams hit dates without burning out.

Process Architecture
Capacity Planning
Neutral Assessment
Cross-Functional Governance

Structured Intake

Ambiguity slows down discovery. I build standardized intake protocols so that by the time a request hits the engineering backlog, 90% of the questions are already answered.

Neutral Assessment

Prioritization shouldn't be emotional. I utilize data-driven scorecards to provide a "neutral no," focusing resources on high-impact initiatives based on revenue vs. effort.

Capacity Forecasting

I don't believe in burning out engineers to hit a date. I believe in rigorous capacity modeling that accounts for the stochastic nature of projects, ensuring predictable delivery.

Selected Initiatives

AgentPay Mobile Architecture
Operations Standardization & Product TPM

AgentPay: Standardizing Field Operations

Conceptualized and delivered a unified mobile ecosystem that enforced process standardization through UI constraints, reducing operational inefficiencies.

The Strategy
Reduced operational inefficiencies by centralizing commission tracking and rate calculations into a single "Source of Truth" workflow.
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Data Analytics Dashboard
Strategic Planning & Data Governance

Bill.com: Industry Segmentation Strategy

Built a neutral assessment framework to identify high-growth verticals post-COVID, using a $63B transaction dataset to drive resource allocation.

The Impact
Provided the data governance required to shift resources toward Healthcare & Professional Services, validating the pivot with a 16M record analysis.
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Workflow Planning
Program Management & Stakeholder Alignment

Global Web Features: Intake & Governance

Implemented a strict 3-phase implementation protocol (Testing, Feedback, Monitoring) to gate releases for high-traffic web features.

The Outcome
Standardized the release process across cross-functional teams, resulting in a projected ~$875K incremental annual revenue.
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Coffee Shop Data
Statistical Framework & Prioritization

Starbucks: Recommendation Drivers

Analyzed thousands of customer responses to build a regression model identifying the "Vital Few" improvements that statistically drive recommendations.

The Insight
Identified that "Taste" and "Staff Courtesy" were the only statistically significant drivers, allowing the business to deprioritize ineffective initiatives.
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Statistical Modeling
Technical Discovery & Modeling

Loan Approval: Predictive Capacity Modeling

Built a systematic evaluation framework testing three ML models (Logistic Regression, Decision Tree, kNN) to standardizing high-volume decision-making.

The Insight
Demonstrated that technical discovery must account for "False Positives" (business risk) before moving to production implementation.
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