I combine an appreciation for efficiency from Production Engineering (PUC-SP) with the analytical depth of Data Science (PUC-RS). I used both sides to translate complex operations into information ecosystems in three experiences at leading global companies in their sectors: IBM, Keyence e Thermo Fisher Scientific.
My pillars are building ETL pipelines, data modeling for analytical process automation, and developing predictive analyses and models, structuring raw data into reliable databases with a focus on consistency, scalability and measurability
Henrique Mantovani
Pipeline Automation with Data Warehouse
DATA ENGINEERING AND BI
Development of a Python pipeline to automate 40 individual extraction processes in SAP, enabling the complete updating of the company's database on a recurring basis. All structured in a Parquet Data Warehouse for historical versioning and auditable data backups. Drastic reduction in manual extraction effort and enabling real-time dashboards.
Python, Selenium, PyAutoGUI, ETL, BI, Automation
Portfolio
Market Intelligence with Lead Scoring
DATA SCIENCE AND STRATEGY
A classification model for prioritizing specific companies within the active customer base. The system integrated sales activity data, sales history, and geographic variables to optimize team deployment. By cross-referencing management inputs with behavioral patterns, the model refined the strategic targeting of companies with the highest potential for conversion and relationship building.
Python, Machine Learning, Predictive Modeling, Scoring
Real cases
Projects
Inventory Optimization and Demand Forecasting
Supply Chain
Inventory analysis for online retail with ABC/XYZ segmentation for product criticality classification and predictability. The project focuses on developing demand models to reduce product shortages and optimize working capital, combining operational efficiency with predictive analytics.
Python, Demand Forecasting, Inventory Management, ABC/XYZ Segmentation, E-commerce
Fraud Detection
Sentiment Analysis
Academy
Production Engineering
PUC-SP
Focus on the design and optimization of production systems to ensure operational excellence. The degree introduced me to prioritizing continuous improvement and strategic management, enabling me to simplify complex operations and maximize productivity through data-driven decisions.
Data Science and AI
PUC-RS
Advanced specialization, from statistical fundamentals to Deep Learning. The program focuses on technical expertise for extracting meaningful insights, BI, and Machine Learning models, integrating cutting-edge technology to improve the decision-making process..