Financial Analysis That Leads to Better Decisions
Most financial analysis stops at reporting what happened. My work goes further, diagnosing the real drivers behind the numbers and building practical models that help leadership decide what to do next.
From Reporting to Decision-Quality Analysis
Financial data is only as useful as the decisions it informs. My work connects three layers that are often treated separately, and should not be.
Good reporting is not just reporting. It is the foundation for everything above it.
Diagnosis separates signal from noise and turns reporting into business understanding.
This is where analytical work connects to strategy.
Business Questions I Help Answer
These are the kinds of questions that bring people to my work, specific, consequential, and not easily answered by standard reporting alone.
Why did margin fall even though revenue increased?
Separating price effect, volume effect, product and customer mix, cost inflation, and discount behavior, to identify where the margin actually went and what to do about it.
Which products, customers, or segments are actually profitable?
Allocating costs and revenue correctly across segments to reveal where the business genuinely makes money, and where it does not, after accounting for true cost structures and customer behavior.
What forecast range is realistic under current assumptions?
Building driver-based forecasts with explicit scenario ranges, separating structural trends from short-term noise and identifying which assumptions most affect the outcome.
How should pricing, mix, and resource decisions be modeled together?
Pricing decisions affect margin, volume, mix, and cash flow simultaneously. Modeling these together, rather than separately, produces recommendations that hold up under scrutiny.
What happens to cash flow if sales shift or costs rise?
Cash flow sensitivity models that connect P&L changes, working capital movements, and collection patterns, giving leadership a clear view of liquidity under different business conditions.
How can leadership choose between competing strategic options?
Building integrated decision frameworks that bring the relevant business drivers together, revenue, margin, risk, capacity, and cash, so strategic choices are supported by structured analysis rather than instinct alone.
Practical Work You Can See and Use
The analytical ideas on this site are grounded in practical tools, models, templates, and frameworks built to address real business problems, not theoretical exercises.
FP&A Budget & Variance Template
A complete annual budgeting model with an assumptions hub, monthly P&L, actuals tracking, and automatic variance reporting. Built for real use, not demonstration.
Margin Bridge & Price/Volume/Mix Decomposition
A structured model for separating the effects of price, volume, product mix, and cost on gross margin, answering the question every CFO eventually asks.
Forecast Scenario & Sensitivity Model
A driver-based forecasting framework with explicit scenario ranges, sensitivity analysis, and identification of which assumptions matter most to the outcome.
Mathematical Programming for Business Decisions
Optimization models for pricing, resource allocation, and mix decisions, finding the best available decision across a full set of business constraints, not just the most intuitive one.
Where I Create Value
Strategic FP&A & Financial Planning
Budgeting, forecasting, variance analysis, and management reporting designed to give leadership genuine clarity, not just numbers, but structured business understanding. Revenue-driver analysis, margin decomposition, cash-flow planning, and KPI frameworks built to inform real decisions.
Financial Modeling & Decision Support
Practical decision-support models that translate complex business questions into structured frameworks, pricing analysis, margin and mix modeling, scenario and sensitivity analysis, customer and segment profitability, capacity and resource allocation, delivered in formats that are clear and actionable.
Statistical & Quantitative Analysis
Revenue-driver analysis, demand forecasting, price sensitivity, and uncertainty quantification. Distinguishing signal from noise, estimating relationships between business variables, and translating uncertain conditions into practical decision ranges, drawing on a background in econometrics and applied economic modeling.
AI-Assisted, Human-Led Analysis
AI tools can meaningfully accelerate financial analysis, documentation, and communication, particularly when guided by strong analytical judgment. The two work best together.
I use AI tools, including Claude, as part of a modern analytical workflow, structuring complex problems faster, drafting management commentary, improving model documentation, and building reusable frameworks more efficiently.
AI does not replace financial reasoning, business understanding, statistical judgment, or modeling expertise. My advantage is knowing how to combine these tools with FP&A experience, econometric thinking, and practical business communication, so the analytical work reaches decision-makers in a clearer, more useful form.
Discuss a ProjectWhere AI adds real value in my work
- Structuring complex business problems before building models
- Accelerating variance analysis and management commentary
- Drafting executive-ready narratives from analytical findings
- Supporting model documentation and assumption logic
- Building reusable templates, frameworks, and analytical tools
- Translating advanced analysis into outputs leaders can use
- Scenario and sensitivity analysis workflow acceleration
- Research synthesis and business-driver identification
A Distinct Combination of Academic Methods and Business Understanding
Statistical & Optimization Thinking Applied to Business
A background in econometrics, mathematical programming, and applied economic modeling informs how I approach business problems, estimating relationships, evaluating uncertainty, separating effects, and building models that reflect how a business actually works rather than how we wish it did.
FP&A in Complex, Real-World Environments
Hands-on experience with pricing, product mix, gross margin, customer concentration, backlog, capacity, working capital, and cash-flow forecasting, in environments where the business drivers were genuinely complex and the analysis had to be both rigorous and immediately usable.
Analysis That Reaches Decision-Makers
Rigorous analysis creates value only when it is understood. I invest as much care in how findings are structured and communicated as in the analysis itself, producing outputs that are clear, credible, and directly connected to the decisions they are meant to inform.
Pricing, Margin, Volume, and Cash Flow as One Problem
The business decisions that matter most involve tradeoffs across multiple dimensions simultaneously. I build frameworks that model these tradeoffs together, rather than optimizing one variable while holding the others fixed.
Facing a Complex Financial or Business Decision?
Whether you need a decision model built, a planning process redesigned, a complex analytical problem diagnosed, or financial analysis that connects the numbers to the decision, let's talk.