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hmantovani/README.md

Hi, I’m Henrique Mantovani 👋

Production Engineer & Data Scientist


English

Hi, I’m Henrique Mantovani. I hold a degree in Production Engineering from PUC-SP (2022) and a Postgraduate degree in Data Science from PUC-RS (2025).

I combine an appreciation for efficiency from Production Engineering with the analytical depth of Data Science — using both sides to translate complex operations into information ecosystems. My career spans three leading global companies: Thermo Fisher Scientific, where I began in marketing and communications; IBM, where I transitioned to data as a Data Analysis Intern during my final year of college; and Keyence — one of Japan’s top 10 largest companies by market cap — where I led the implementation of Python into the data team’s routine and built a Data Warehouse powering multiple company-wide Power BI reports within a high-level operational efficiency culture.

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. Today I work as a Consultant, helping companies and projects turn raw data into strategy, optimize processes, and build scalable information ecosystems. Feel free to reach out!


Português

Olá, eu sou o Henrique Mantovani. Sou graduado em Engenharia de Produção pela PUC-SP (2022) e pós-graduado em Ciência de Dados pela PUC-RS (2025).

Combino o apreço pela eficiência da Engenharia de Produção com a profundidade analítica da Ciência de Dados — usando os dois lados para traduzir operações complexas em ecossistemas de informação. Minha trajetória passou por três empresas líderes globais em seus setores: Thermo Fisher Scientific, onde iniciei na área de marketing e comunicação; IBM, onde fiz a transição para dados como Estagiário de Análise de Dados no último ano da faculdade; e Keyence — uma das 10 maiores empresas do Japão por valor de mercado — onde liderei a implementação do Python na rotina do time de dados e construí um Data Warehouse para alimentar múltiplos relatórios em Power BI em uma cultura de alta eficiência operacional.

Meus pilares são a construção de pipelines ETL, modelagem de dados para automação de processos analíticos e o desenvolvimento de análises e modelos preditivos — estruturando dados brutos em bases confiáveis com foco em consistência, escalabilidade e mensurabilidade. Hoje atuo como consultor, ajudando empresas e projetos a transformarem dados brutos em estratégia, otimizar processos e estruturar ecossistemas de informação escaláveis. Sinta-se à vontade para entrar em contato!


🛠️ Projects

NBA Playoffs 2026
🏀 NBA Playoffs 2026
Data-driven analysis, modeling, and simulations for game and series predictions across the 2026 NBA Playoffs.
YouTube Downloader
📺 YouTube Downloader
High-quality YouTube video and audio downloader with a modern GUI. Supports 4K, subtitles, and metadata via yt-dlp.
Wikipedia to PDF
📖 Wikipedia PDF Downloader
Python tool to automate Wikipedia-to-PDF conversion. Ideal for building AI Knowledge Bases, RAG datasets, and offline documentation.
Portfolio Website
🌐 hmantovani.com
Professional portfolio built with TypeScript showcasing expertise in data science, analytics, BI, and automation.
GitHub Pages Site
🖥️ GitHub Pages
Personal website hosted on GitHub Pages — an earlier iteration of my online presence and digital portfolio.
More coming soon
🚀 More coming soon
New projects in ETL, predictive modeling, and process automation are currently in development. Stay tuned!

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