• 🙋🏻‍♂️ Pronouns: he/him, ele/dele, er/ihm
• 🧑‍💻 current position: Data Scientist at CEPTRO - Medições
• 🏠 websites: LinkedIn
• 📧 e-mail: philipp (dot) kleer (at) posteo (dot) com / benedikt (at) nic (dot) br
• 🗣️: 🇩🇪, 🇧🇷, 🇺🇸

Ph.D.-trained Data Scientist with 8+ years of experience in quantitative analysis, statistical modeling, and applied data science. I specialize in building reproducible analytical workflows and production-grade data applications that support data-driven decision-making.

My work combines advanced statistical and Bayesian modeling, machine learning, and software engineering practices, with hands-on experience in R, Python, SQL, CI/CD, and containerized deployments. I focus on translating complex data into actionable insights through robust analysis, interactive dashboards, and clear analytical narratives.

Currently, I work as a Data Scientist at CEPTRO / NIC.br, where I develop and maintain analytical systems used to understand and monitor internet usage and network quality in Brazil. I collaborate in international and interdisciplinary teams and bring strong experience working across cultural and institutional contexts.

• Applied Data Science & Analytics: Designing and delivering data-driven solutions using R, Python, and SQL, with a strong focus on statistical modeling, exploratory analysis, and decision support on complex, real-world datasets.

• Production-Grade Analytical Systems: Building and maintaining reproducible analytical workflows, Shiny applications, and data pipelines, including CI/CD, testing, containerization, and deployment to production environments.

• End-to-End Project Ownership: Taking analytical projects from data integration and modeling to visualization, communication, and long-term maintainability, bridging research-grade methods and operational systems.

• International & Interdisciplinary Collaboration: Working in international and cross-functional teams across Europe and Brazil, contributing in English, Portuguese, and German, and translating complex analyses for diverse technical and non-technical stakeholders.

Explore curated case studies and project overviews demonstrating my work as a Data Scientist:

🔗 https://github.com/philkleer/portfolio

• Merge Requests: 36 created · 29 contributed · 38 merged
• Issues: 51 created · 35 contributed/assigned · 51 closed
• Code Reviews: 3 approved · 6 commented · 2 reviewer

Last update: 2026-03-02 16:43 (America/Recife)