Supply Chain • S&OP • Demand Planning • Pricing
Data Analytics • Python • Power Platform • SQL
Graduated in Production Engineering @ FEI
Master in Production Engineering @ UFSCar (ongoing)
MBA in Data Science, Artificial Intelligence and Analytics @ USP (ongoing)
Machine Learning •
Cloud Architecture •
Advanced SQL •
Data Modeling
class AnalyticsEngineer:
def __init__(self):
self.name = "Hellen Maria"
self.role = "Data Analytics & Business Intelligence Analyst"
self.education = "Production Engineering @FEI"
self.location = "São Paulo, Brasil 🇧🇷"
def current_focus(self):
return [
"📊 Pricing analytics & competitive intelligence",
"🚲 Product benchmarking & spec-level analytics",
"📦 S&OP simulation & demand forecasting",
"🤖 Data scraping & pipeline automation",
"🏗️ Corporate data architecture",
"📈 Machine learning for demand planning"
]
def mindset(self):
return "Transformando dados em vantagem competitiva 💡"| Data & Analytics | Visualization | Automation & Web | Frontend |
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| Projeto | Descrição | Tech Stack |
|---|---|---|
| S&OP Simulator | Simulador de impacto de cenários para ciclo S&OP | Power BI, DAX, Python |
| Benchmarking | Sistema de análise competitiva em nível de especificação | Python, Selenium, Pandas |
| Pricing Intelligence | Dashboard de inteligência de mercado e gap competitivo | Power BI, SQL, Web Scraping |
| Automated Pipelines | Pipelines de coleta e processamento de dados de mercado | Python, BeautifulSoup, Pandas |
| Demand Forecasting | Sistema de previsão de demanda com machine learning | Python, Scikit-learn, Statsmodels |
graph LR
A[📊 Dados Brutos] --> B[🔍 Coleta & Scraping]
B --> C[🧹 Processamento]
C --> D[📈 Análise]
D --> E[💡 Insights]
E --> F[🎯 Decisão Estratégica]
style A fill:#ff69b4,stroke:#ff1493,color:#fff
style F fill:#ff69b4,stroke:#ff1493,color:#fff