Open to full-time analyst roles

Models that speak
the market's language

Yirviel Somé — FMVA® & BIDA® certified, MSc candidate in Finance.
I build the models investment decisions are made on.

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Featured Projects

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CBIZ take-private LBO — $55.00/share offer, $5.0bn enterprise value, 17.3% sponsor-net IRR, 1.91x MOIC

Leveraged Buyout · As-Announced LBO Reconstruction

The $5 Billion CBIZ Take-Private: A Full LBO Reconstruction

LBO · 17.3% net IRR · NYSE: CBZ

17.3%Sponsor-net IRR, 4.05-year hold, at the announced $55.00/share

1.91x MOIC / 17.3% net IRR on the announced $5.0bn take-private, net of a 10% management incentive pool — below the ~20-25% most sponsors underwrite to on a new platform; closing that gap needs roughly one turn of exit-multiple expansion, faster margin capture than modeled, or the unmodeled Benefits & Insurance carve-out.

LBOM&APrivate EquityFinancial Modeling

M&A Clean Room — 0 raw rows analysts ever query, 2 hard gates before access, 1 command to render the diligence tear sheet

M&A Diligence · Self-Hosted Data Clean Room

M&A Clean Room — Buy-Side Diligence Without Ever Touching the Target's Raw Data

0raw target rows an analyst ever queries

Tokenizes a target's GL, gates analyst access behind a leak-scan + trial-balance PASS, then renders the diligence tear sheet — self-hosted, reproducible, and audited end to end.

M&ADue DiligenceData EngineeringEBITDA

Sales Performance Overview — headline KPIs: $437,771 total sales, 8.4% profit margin, 500 orders

Business Intelligence · Power BI Dashboard

Sales Performance Dashboard: From Two Raw CSVs to a Boardroom-Ready Power BI Report

8.4%Profit margin surfaced across 500 orders

$437,771 in sales analyzed — after catching a silent date-parsing bug that would have corrupted 61% of the data.

Data AnalyticsPower BIDAXPower Query

Approach & Methodology

Every project moves through the same four stages, in this order, from raw filing to a stress-tested, reproducible model.

1 DataClean & structure
2 Model3-statement, DCF, LBO
3 ValidateMonte Carlo, VaR
4 ShipReproducible tooling

Data Data Analysis & Visualization (BIDA) ›

From raw financial data to boardroom-ready dashboards, using Python (Pandas, Matplotlib, Plotly), Excel Power Query, and SQL to clean, transform, and surface insights before a single assumption gets modeled.

Model Financial Modeling (FMVA) ›

3-statement models, DCF valuations, LBO structures, and comparable company analyses, built to investment-banking standards: the toolkit analysts use to work out what a business is actually worth. Every assumption is documented.

Validate Applied Quantitative Analysis ›

Demonstrated in the Casablanca Quant Framework project: Monte Carlo simulation (1,000 simulated paths) and Value-at-Risk estimation at the 95% confidence level, applied to a real multi-asset allocation. In plain terms, that means running thousands of "what if" market scenarios to stress-test the model before it ships.

Ship Python-Driven Financial Tools ›

Every model is coded, reproducible, and version-controlled, not a one-off spreadsheet. Pandas and NumPy handle data wrangling and numerical computation, SQLite handles structured storage, and Matplotlib/Plotly handle visual output, turning Excel-bound analyses into scalable, automated tools.

Credentials & Basis

FMVA® — Financial Modeling & Valuation Analyst, Corporate Finance Institute Verify →
BIDA® — Business Intelligence & Data Analyst, Corporate Finance Institute Verify →
MSc candidate in Finance
5 full case studies — sourced to public filings, built from Casablanca, Morocco

About

I'm Yirviel Somé, based in Casablanca, Morocco. Every project on this site starts the same way: a real, filed deal (a 10-K, a merger proxy, an 8-K) and the question of what it's actually worth once you stop taking the headline number on faith. That's the discipline behind the CBIZ take-private, rebuilt as a full sponsor LBO ahead of the merger proxy filing, and behind every other case study on this site. It's the standard I want to bring to a team's live deals, not just my own portfolio.

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Hiring, or want to talk about a role?

Open to full-time and contract analyst positions — financial modeling, data analytics, and valuation work. Email or LinkedIn below.

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Also open to select project-based work — mention it when you reach out.

Models that speakthe market's language