Automate recurring work
Replace repetitive exports, spreadsheet updates, and manual checks with dependable workflows.
Open to full-time, freelance & remote
Henrique Mantovani
Data Professional | Engineering · Science · Analytics
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 and 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.
Experienced at global market leaders
How I can help
Less manual work. More useful data.
Practical data services for teams that need reliable
answers without adding unnecessary complexity.
Connect systems and data
Bring ERP, APIs, and files into a consistent data layer your team can trust and reuse.
Make reporting actionable
Turn scattered numbers into clear dashboards and analysis tied to day-to-day decisions.
Real cases
Real-world data automation and reporting solutions built for business operations.
Data Engineering & AutomationReal Case
Data platform for a São Paulo distributor, built on Omie ERP
A full internal data platform on top of Omie ERP — scheduled multi-entity extraction into a Parquet warehouse, and Streamlit apps for pipeline management and self-service reporting, including automated overdue-invoice processing.
PythonOmie APIParquetStreamlitBackground Jobs+1
View project→
Data Engineering & BIReal Case
SAP BusinessObjects extraction pipeline automation
A Python-based framework that automated 40 SAP BusinessObjects report extraction workflows without API dependency, consolidating the outputs into a centralized and auditable data warehouse.
PythonSeleniumPyAutoGUIETLSAP+2
View project→
Projects
A live World Cup forecast and the next independent data projects in the pipeline.
Data Science & Sports Modeling
FIFA World Cup 2026 Prediction Model
A living statistical model forecasting the 2026 World Cup one stage at a time — a Poisson + Elo ensemble trained on 48,000+ international matches and re-run after every round, with full group-stage simulation.
PythonstatsmodelsPoisson GLMEloMonte Carlo+1
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Analytics & BIPlanned
Small-Business Finance & Sales Cockpit
A demo operating dashboard for sales, cash collection, overdue invoices, and stalled orders, built with clearly labeled synthetic or public data.
PythonSQLData ModelingDashboard
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Data AutomationPlanned
Spreadsheet Cleanup & Reporting Automation Kit
A reusable workflow to standardize recurring spreadsheets, flag exceptions, and create clean, auditable report outputs.
PythonData QualityValidationAutomation
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Data EngineeringPlanned
API-to-Reporting Data Pipeline
A scheduled public-API pipeline with incremental loads, validation, failure recovery, and a small downstream report.
PythonREST APIETLSQLObservability
View project→
Data SciencePlanned
World Cup Forecast: Validation & Uncertainty
An evaluation extension to the World Cup model: historical backtests, calibration, uncertainty, and comparisons with simple baselines.
BacktestingCalibrationBrier ScoreStatistics
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Analytics & SQLPlanned
Customer Retention & Revenue Analysis
A business-focused analysis of repeat purchasing, customer cohorts, time to second purchase, and revenue concentration.
SQLCohort AnalysisSegmentationData Storytelling
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Get in touch
Available for opportunities, freelance projects and collaboration.
✉️
Send an email
contato@hmantovani.com
or hq.mantovani@gmail.com
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