Executive Briefing & Professional Profile: Diogo Hutner

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.

Career & Competencies

Career & Competencies

Executive Profile & Mini-Bio

Finance professional and Supply Chain & Operations Consultant at EY, holding a degree in Controllership and Finance from UFMG and currently specializing in Data Science at DCC/UFMG. Proven track record in developing optimization algorithms, automated valuation models for SMEs, quantitative dividend frameworks (evaluating 1,214 assets and 80,000+ events), and operational analytics dashboards for leading enterprises such as Vale and Samsung.

Professional Timeline

Aug 2025 – Present

Supply Chain & Operations Consultant

EY (Ernst & Young)·Belo Horizonte, Brasil
  • Engineered operational dashboards and analytical data models for Vale, tracking incidents, operational KPIs, and process optimization levers.
  • Developed mathematical optimization algorithms for order allocation at Samsung, minimizing distribution bottlenecks and dispatch delays.
  • Authored structured Business Cases and integrated executive reports to support high-stakes strategic capital and operational decisions.
  • Applied standard EY Analytics frameworks across Data Science, Data Visualization, and AI Engineering tracks (Bronze badges 2025/2026).
Supply Chain·Otimização·Vale·Samsung·Power BI·Python·SQL
Aug 2023 – Dec 2024

Business Systems Analyst

AZ Power Energia·Belo Horizonte, Brasil
  • Architected and deployed from scratch an energy allocation optimization algorithm to minimize waste and maximize operational revenue under contractual constraints, real-time demand, and generation capacity.
  • Implemented the production solution in Python and SQL integrated with Google Sheets and cloud databases, eliminating manual spreadsheet workflows.
  • Automated mission-critical operational processes, driving substantial gains in computational speed and decision consistency.
Otimização Matemática·Python·SQL·Mercado de Energia·Automação
Jun 2021 – Oct 2022

Product Development & Valuation Algorithms (Back-end)

BuyCo. Brasil·Belo Horizonte, Brasil
  • Engineered a proprietary valuation algorithm for micro and small enterprises from scratch, transforming accounting and operational inputs into defensible, structured valuation reports.
  • Built and refined core back-end computation logic alongside the product engineering team, robustly handling missing data and accounting edge cases.
  • Structured sector multiple models and sensitivity analyses to facilitate M&A advisory transactions for mid-market and SME clients.
Valuation MPE·Algoritmos Financeiros·Back-end·Fluxo de Caixa Descontado
Jan 2023 – Jan 2024

Research Fellow (FUNDEP)

Universidade Federal de Minas Gerais (UFMG) · FUNDEP·Belo Horizonte, Brasil
  • Conducted empirical research in Behavioral Finance focusing on investor risk tolerance profiling and decision-making dynamics under uncertainty.
  • Engineered a full-stack web application for Investor Profile Analysis (IPA): front-end interface (HTML/CSS/JS) with automated data collection and back-end logic for statistical scoring and instant report generation.
  • Research methodology successfully integrated into academic publications and behavioral finance literature.
Finanças Comportamentais·JavaScript·Google Apps Script·Pesquisa Quantitativa

Qualitative Impact Cases

Technical methodologies and quantitative impact across enterprise advisory engagements.

Samsung · Supply Chain Consulting

Algorithmic Order Allocation Optimization in Consumer Electronics

Challenge: Decentralized dispatch management causing delivery delays, inventory imbalances, and excessive transport costs during demand surges.
Solution: Designed and implemented a mixed-integer linear programming model in Python for optimal dispatch allocation respecting plant constraints, delivery windows, and freight matrix.
Impact: Substantial mitigation of distribution bottlenecks and institutionalization of an automated mathematical workflow for daily dispatch decisions.
Otimização·Samsung·Python·Supply Chain
Vale · Operations & Incident Intelligence

Operational Analytics and Incident Tracking in Large-Scale Mining

Challenge: Massive telemetry and operational logs spread across disparate legacy databases with lack of unified executive tracking for equipment stoppages.
Solution: Engineered scalable SQL data pipelines and designed high-density executive Power BI dashboards with drill-down capabilities by plant and asset cluster.
Impact: Real-time visibility for operational leaders, accelerating preventive diagnoses and informing continuous operational improvement committees.
Vale·Power BI·SQL·Incident Intelligence
AZ Power Energia

Energy Resource Allocation Optimization Engine with Contractual Constraints

Challenge: Manual dispatch allocation of solar and biomass generation assets to corporate consumers introduced imbalance penalties and suboptimal revenue capture.
Solution: Formulated an optimization algorithm in Python and SQL factoring regulatory bounds, seasonal customer load profiles, and hourly generation curves.
Impact: Full end-to-end automation of operational allocation, eliminating manual reconciliation errors and maximizing net realized contract revenue.
AZ Power·Python·SQL·Energy Markets
BuyCo. Brasil

Algorithmic Valuation Engine for Micro and Small Enterprises

Challenge: Small and mid-sized enterprises often exhibit irregular financial statements and volatile cash flows, complicating conventional DCF modeling.
Solution: Engineered a hybrid valuation algorithm combining risk-adjusted DCF, industry transaction multiples, and automated sensitivity stress tests.
Impact: Delivered standardized, audit-ready, and defensible valuation reports across hundreds of M&A and corporate equity transactions.
Valuation·BuyCo·Back-end·M&A

Academic Background

Postgraduate Specialization in Data Science

Jul 2026 – Dez 2027 (Em andamento)
Universidade Federal de Minas Gerais (UFMG) · DCC1 de 100 vagas nacionais

Specialization in Computer Science by DCC/UFMG. 360-hour advanced curriculum covering Machine Learning, Data Mining, Predictive Analytics, Algorithms, Optimization, and Applied Statistics. Concludes with a master-level applied dissertation.

Bachelor's Degree in Controllership and Finance

Mar 2021 – Jul 2025
Universidade Federal de Minas Gerais (UFMG)Presidente da Liga de Finanças (2023-2024)

Comprehensive curriculum in financial modeling, executive controllership, econometrics, and quantitative finance. Undergraduate thesis: development of a proprietary dividend metric tested across 1,214 assets and 80,000+ distribution events.

Technical Skills Matrix

Financial Modeling & FP&A

  • Fluxo de Caixa Descontado (DCF)
  • Valuation & Múltiplos Setoriais
  • Business Case & Viabilidade
  • Análise de Cenários & Stress Testing
  • Estrutura de Capital & WACC
  • Corporate Finance & FP&A

Data, Optimization & Code

  • Python (Pandas, NumPy, Scipy, PuLP)
  • SQL Avançado (PostgreSQL, BigQuery, T-SQL)
  • Excel Avançado & VBA
  • Pesquisa Operacional & Otimização
  • R (Econometria & Séries Temporais)
  • Git, GitHub & CI/CD

Analytics & Executive BI

  • Power BI & DAX
  • Pipelines ETL & Integração de Dados
  • Visualização de Dados (Matplotlib/Seaborn)
  • Modelagem Relacional de Dados
  • Dashboards Executivos de Performance
  • Governança de Dados Corporativos

Operations & Supply Chain

  • Otimização de Alocação de Pedidos
  • Planejamento de Demanda & Capacidade
  • KPIs Operacionais & SLA Tracking
  • Mapeamento e Redesenho de Processos
  • Análise de Incidentes & Eficiência
  • Supply Chain Finance

Certifications & Corporate Badges

SQL (Advanced) Certificate

HackerRank

2024

Problem Solving (Intermediate) Certificate

HackerRank

2024

Software Engineer Intern Certificate

HackerRank

2025

EY Analytics: Data Science Bronze Badge

EY (Ernst & Young)

2025/2026

EY Analytics: Data Visualization Bronze Badge

EY (Ernst & Young)

2025/2026

EY AI: Applied AI & AI Engineering Bronze Badge

EY (Ernst & Young)

2026

Basic Data Descriptors, Statistical Distributions and Business Decisions

Rice University

2025

Intro to Machine Learning for Data Science

Udemy

2025

Linear Algebra and Feature Selection in Python

Udemy

2025

Azure Machine Learning and MLOps: Beginner to Advance

Udemy

2026

EF SET English Certificate C1 Proficiency (62/100)

EF SET

2026