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.

DH
DIOGO HUTNERCorporate & Analytics
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Portfólio Técnico · Repositórios Versionados

Projects & Code Portfolio

Optimization engines, financial computation tools, and operational workflows with version-controlled code.

Optimization & Operations Research

Energy Resource Allocation Optimizer

Mathematical programming algorithm in Python and SQL for optimal energy dispatch under contractual, transmission, and seasonal constraints.

Technical Focus & Methodology

Mixed-Integer Linear Programming (MILP) formulated in SciPy and PuLP, integrated with SQL data pipelines for load balancing and penalty minimization.

Python·SQL·PuLP·Google Sheets API·Pandas
View on GitHub
Quantitative Finance & Big Data

Quantitative Dividend Metric Framework

Proprietary multi-factor metric for dividend consistency and cash flow coverage empirically validated on 1,214 assets and 80,000+ corporate events.

Technical Focus & Methodology

SQL and Python data engineering pipelines processing corporate actions, calculating intertemporal coefficient of variation, and backtesting portfolio baskets.

Python·SQL·Pandas·Matplotlib·NumPy
View on GitHub
Behavioral Finance & Web Apps

Investor Profile Analysis (IPA) Web Tool

Full-stack web application for psychometric data collection, risk tolerance assessment, and automated reporting in academic research at UFMG/FUNDEP.

Technical Focus & Methodology

Client-side interface in JavaScript/HTML5/CSS3 connected to Google Apps Script backend for statistical processing and document automation.

JavaScript·HTML5·CSS3·Google Apps Script·Applied Statistics
View on GitHub
Analytics & Operations Advisory

Operational Incident & Performance Analytics (Vale & Samsung)

Data pipeline architecture and executive Power BI dashboards providing mission-critical operational intelligence in Supply Chain and mining operations.

Technical Focus & Methodology

SQL data pipelines, relational Star Schema data modeling, and advanced DAX measures integrated into EY Analytics enterprise frameworks.

Power BI·DAX·SQL·Data Modeling·EY Analytics Framework
View on GitHub

Source Code Repositories on GitHub

Track statistical implementations, automation scripts, and quantitative pipelines.

github.com/hutnerdiogo