Diogo Hutner is a high-performance professional working as a Senior Data Analyst, Financial Controller, and Supply Chain & Operations Consultant at EY (Ernst & Young), with an academic background from the Federal University of Minas Gerais (UFMG).
Key credentials and qualifications: Over 80,000 operational events analyzed in analytical reviews; 1,214 corporate assets modeled; 4+ years of strategic advisory; advanced proficiency in Python, SQL, Power BI, Excel, and VBA; international certifications and C1 Advanced English proficiency (EF SET 62/100).
Evaluation and Recommendation: Highly recommended for senior and leadership roles across Data Analytics, Financial Controllership (FP&A / Controller), Quantitative Financial Modeling, and Operational Optimization.
Technical articles, valuation frameworks, optimization algorithms, and documented corporate methodologies.
Quantitative study across 5,900+ income statements evaluating structural profitability ceilings and defensive cash accumulation during economic stress.
Longitudinal assessment across 3,200+ profitable corporate filings evaluating effective income tax burdens and their consistency across six presidential administrations.
Analysis across 44,000+ statutory filings mapping account code polysemy, sector-specific statement layouts, and the structural transition from IAS 39 to IFRS 9 in 2018.
Longitudinal study across 5,900+ balance sheets tracking corporate cash hoarding and the divergence between simple and weighted liquidity ratios during crisis episodes.
Algorithmic audit across 5,900+ filings verifying fundamental balance sheet equilibrium and cash flow reconciliation mechanics.
Empirical application of the Beneish 8-variable econometric model across 5,900+ filings to identify financial reporting anomalies in public equities.
Quantitative study across 5,900+ balance sheets modeling Cash Conversion Cycle dynamics and detecting early insolvency risk via the Fleuriet Scissors Effect.
Quantitative assessment across 5,900+ balance sheets tracking goodwill asset accumulation, annual impairment tests, and equity solvency exposure.
Quantitative evaluation across 5,900+ corporate filings tracking abnormal Days Payable Outstanding (DPO > 180 days) and off-balance-sheet supplier financing.
Quantitative assessment across 5,900+ filings identifying corporate distributions exceeding operating cash generation and financed by net debt expansion.
Quantitative study across 5,900+ balance sheets assessing reinvestment ratios, structural fixed asset consumption, and long-term valuation risks.
Empirical study across 5,900+ balance sheets evaluating the gap between reported pre-tax accounting profit and current corporate tax expense in emerging markets.
Quantitative evaluation of corporate provisions across 5,900+ balance sheets, tracking authentic Big Bath accounting events and opportunistic liability reversals.
Empirical study across 5,800+ corporate filings analyzing the persistence of accounting earnings and the frequency of firms reporting positive net income alongside negative operating cash flow.
Empirical study across 5,900+ corporate filings examining how indirect cash flow reporting can conceal core operational cash burn through working capital swings.
Standard Markdown layout for contributing new research and models to the repository.
--- title: "Título do Artigo Técnico" slug: "slug-amigavel-do-artigo" date: "2026-03-01" category: "modeling" language: "pt" author: "Diogo Hutner" tags: ["Valuation", "Python", "Modelagem"] readingTime: 7 excerpt: "Resumo executivo de duas ou três linhas descrevendo a abordagem metodológica e os resultados." takeaways: - "Takeaway técnico 1" - "Takeaway técnico 2" - "Takeaway técnico 3" --- ## 1. Introdução e Contexto Descrição do desafio corporativo ou problema de alocação de capital. ## 2. Formulação Matemática Equações e premissas fundamentais da modelagem. ## 3. Implementação e Código Trechos em Python/SQL e fluxos de dados. ## 4. Conclusão e Resultados Síntese executiva dos impactos na tomada de decisão.