Kevin Blouse, CPA
Real Estate Capital Allocation & Portfolio Management Leader

Building financial systems that help leaders make more confident decisions.

Eight years across Big 4 audit, PE-backed M&A due diligence, corporate planning, and hospitality FP&A. Increasingly focused on asset and portfolio-level ownership of a P&L, not just reporting on one.

AI-ASSISTED FP&A — SHIPPED IN A LIVE FINANCE FUNCTION, NOT THEORIZED
Kevin Blouse, CPA
Kevin Blouse, CPA
FP&A Manager, Highgate Hotels — Dallas, TX
Selected results
FY18 — PRESENT
Incentive fee miscalculation identified & recovered — Highgate Hotels
$1.2M
FOUND
Third-party reporting engagement replaced with a Claude AI + Power Automate infrastructure, holding the accounting function accountable — Highgate Hotels
$250K
SAVED
Five-year free cash flow opportunity surfaced for CFO review — Kosmos Energy
$500M
MODELED
EBITDA & valuation adjustments delivered across PE due diligence — EY
$236K
DELIVERED
Monthly close & reporting cycle time reduction — Highgate Hotels
50%+
CUT

Where to look

3 routes, no fluff
8+ Years, 4 Companies

Audit discipline, deal diligence, and capital planning — one continuous thread.

Click a role to expand it. Same resume, organized the way I'd actually report it to a CFO.

8+
Years across 4 companies
$500M+
FCF opportunity surfaced
$1.2M
Incentive fees recovered
CPA
Baylor MAcc, 2018

The work, by chapter

Select a company

One continuous thread, from audit discipline to capital planning. Pick a chapter to see the mandate and what it produced.

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Finance capabilities

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Interactive Model

A 20-property portfolio, modeled the way a sponsor's CFO would need it.

12 equity co-investment assets, 8 fee-only assets, pooled cash-flow IRR/MOIC at the deal and corporate level. Data below is illustrative and built to demonstrate methodology, not to disclose any employer's or client's actual figures.

blouse_capital_dashboard — power bi
Key insight
Cumulative IRR sits at 35%, with 7% still in the pipeline. Data centers are driving performance, while office is the drag.

What the model does

Architecture

Pooled cash flows, not averaged returns

IRR cannot be averaged across assets without distortion, each property has its own timing and magnitude of cash flow. The model pools cash flows across the portfolio before computing IRR at the corporate level, and separately at the per-deal level, so the headline return is mathematically defensible rather than a shortcut.

Power BI's DAX has no native XIRR function, so the iterative IRR calculation is verified independently in Python before being trusted in the dashboard.

Corporate model assumptions

The corporate layer is built bottom-up. Corporate compensation runs at 24% of fee revenue, and direct operating costs (field staff and regional operations) at 52% of fee revenue. Together they drive a total corporate EBITDA margin of roughly 12%.

Co-investment properties12
Fee-only properties8
Total tabs / model surface23
Min. interest coverage ratio4.0x
Same-store spread vs 8% hurdle33.2%
West region MOIC5.51x
Promote — carry above 8–10% pref20%
Let's Connect

Open to connecting about new opportunities, ideas, and people worth knowing.

Whether it's a role, an introduction, or comparing notes on finance and AI, I'm always glad to connect.

Get in touch

15-minute intro

Pick a time that works and we'll take it from there.