Work

A track record of building.

Margin House is new. The work behind it is not. These are systems built across more than fifteen years in commercial aviation, the proof that we can do what we say.

Allegiant Air · VP, Data Science

A revenue management system, built from scratch

Allegiant ran on margin, and margin ran on pricing. The airline's revenue management system was built from nothing, a machine learning approach to demand forecasting and fare optimization that became the pricing brain of the commercial operation.

The work was hands-on and end to end: build the models, ship the system the commercial team used every day, and make the case to leadership in terms they could fund. The handful of tools behind it grew into a full data science department.

Result: pricing and revenue systems behind more than a billion dollars in annual airfare, an estimated 1.5% annual revenue lift, and a data science function that endured well beyond its origins.

Read the thinking: Why your best RM analysts keep leaving →

Allegiant Air · Network Planning

The optimization suite behind record margins

A modular network planning and optimization suite, built at Allegiant: separate tools, each solving one hard problem and feeding the next, that together planned the airline end to end.

Capacity optimization. Dynamically solves for the optimal capacity across a given route network to maximize margin.

Schedule automation. Turns a capacity plan into a flyable schedule automatically, and guarantees the result is operationally viable.

Crew pairing optimization. Builds the crew pairings needed to operate that schedule, forecasting the headcount required to run the airline and giving granular insight into training needs.

Result: a planning system that helped Allegiant post some of the highest operating margins in commercial aviation.

Read the thinking: The network planning decision no one fully owns →

Allegiant Air · Operations

The auto speed solver

Delays cascade, and fuel is one of the largest costs an airline carries. The auto speed solver was a system that detected delays as they formed in the operation, simulated the downstream outcomes, and recommended a cost index that lifted on-time performance and cut fuel burn at the same time.

Result: on-time performance up about four points and fuel savings of more than one percent, from a single system.

Read the thinking: The alignment problem →

Avelo Airlines · Commercial Leadership

A revenue engine for a brand-new airline

A startup carrier has no history to lean on and no system to inherit. Pricing for Avelo was built from a blank sheet: a custom, in-house revenue management capability, the fare structure, the analytics behind it, and the discipline to run it.

Result: an estimated 14% increase in revenue, which helped drive the airline's first profitable quarters.

Avelo Airlines · Analytics

Millions found in the fuel bill

A close read of the operating data caught a steady run-up in fuel consumption that had gone unflagged, traced it to its cause, and drove it back down.

Result: more than 8% in annual fuel savings, worth millions of dollars a year.

Sun Country Airlines · VP, Network Planning & Revenue Management

Holding revenue steady through a merger

The current VP role at Sun Country covers commercial strategy across pricing, demand forecasting, network design, and market expansion, including analytical decision-support frameworks stood up to keep revenue performance steady through a complex merger transition, under accelerated timelines and real uncertainty.

Result: commercial continuity and clear, data-driven decisions during a high-stakes integration.

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