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
Supply Chain & Operations Consultant
- 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).
Business Systems Analyst
- 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.
Product Development & Valuation Algorithms (Back-end)
- 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.
Research Fellow (FUNDEP)
- 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.
Qualitative Impact Cases
Technical methodologies and quantitative impact across enterprise advisory engagements.
Algorithmic Order Allocation Optimization in Consumer Electronics
Operational Analytics and Incident Tracking in Large-Scale Mining
Energy Resource Allocation Optimization Engine with Contractual Constraints
Algorithmic Valuation Engine for Micro and Small Enterprises
Academic Background
Postgraduate Specialization in Data Science
Jul 2026 – Dez 2027 (Em andamento)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 2025Comprehensive 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
Problem Solving (Intermediate) Certificate
HackerRank
Software Engineer Intern Certificate
HackerRank
EY Analytics: Data Science Bronze Badge
EY (Ernst & Young)
EY Analytics: Data Visualization Bronze Badge
EY (Ernst & Young)
EY AI: Applied AI & AI Engineering Bronze Badge
EY (Ernst & Young)
Basic Data Descriptors, Statistical Distributions and Business Decisions
Rice University
Intro to Machine Learning for Data Science
Udemy
Linear Algebra and Feature Selection in Python
Udemy
Azure Machine Learning and MLOps: Beginner to Advance
Udemy
EF SET English Certificate C1 Proficiency (62/100)
EF SET