Irio Musskopf is a Machine Learning Engineer and founder with 13 years in tech, now based in Berlin and focused on building data systems that scale to millions of users. He co-founded Data Science Brigade to help companies become data-driven, combining hands-on engineering with client-facing strategy, team training, and production deployments across Python, Ruby, Spark, Kafka, and cloud platforms. Earlier he co-led Operation "Serenata de Amor," a high-impact civic tech and open-source project that earned an MIT Tech Review Innovators Under 35 Latam nomination and set crowdfunding and community engagement records in Brazil. His GitHub work shows deep practical experience in data ingestion, transformation and backend engineering for public-sector datasets, including tools to fetch, convert and pipeline government data. Comfortable bridging business and engineering, he enjoys turning messy public data into auditable, production-ready systems.
13 years of coding experience
Associate's degree, Computer Science, Associate's degree, Computer Science at IFSUL - Instituto Federal Sul-rio-grandense
Summer Bootcamp, Data Science, Summer Bootcamp, Data Science at Data Science Retreat
Bachelor's Degree, Computational and Applied Mathematics, Bachelor's Degree, Computational and Applied Mathematics at Universidade Federal do Rio Grande do Sul
📰 Diários oficiais brasileiros acessíveis a todos | 📰 Brazilian government gazettes, accessible to everyone.
Role in this project:
Backend Developer & Data Engineer
Contributions:120 commits, 39 PRs, 111 pushes in 1 year 7 months
Contributions summary:Irio primarily contributed to the project by implementing and modifying backend code. They focused on data collection, processing, and database interaction, as evidenced by changes to models, pipelines, and database setup scripts. The commits demonstrate work related to data parsing, the creation of database update classes, and the extraction of specific data elements, aligning with data engineering and backend development tasks. Their work involved refactoring and the addition of features centered around processing and managing data within the project.
🕵 Artificial Intelligence for social control of public administration | **This repository does not receive frequent updates. Check out the README**
Role in this project:
Back-end Developer & Data Scientist
Contributions:251 commits, 72 PRs, 210 pushes in 2 years 2 months
Contributions summary:Irio significantly contributed to the development of data processing and analysis scripts. They created scripts for backing up and fetching datasets from a government site, demonstrating an understanding of data ingestion and storage. Furthermore, the user built a script to convert XML datasets to CSV, and updated a translation of terms, showing an ability to manipulate and transform datasets, which aligns with a data science workflow.
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Irio Musskopf - Machine Learning Engineer at Data Science Brigade