Guilherme Viegas
Data Scientist | Geospatial Analyst | AI Enthusiast
I transform complex data into actionable insights through advanced analytics and machine learning. With expertise in econometrics and spatial analysis, I build solutions that help organizations make data-driven decisions. My approach combines technical rigor with clear communication to bridge the gap between data science and business strategy.
Technical Toolkit
Professional Journey
Cloud Data Engineer - CloudPilots, Germany
Cloud Infrastructure using GCP and Terraform;
IT Consultancy for Databases and Report Development;
FinOps, Cloud Migration, ETL, and Reporting;
Data Pipeline Development and Maintenance;
Tech: GCP, Terraform, BQ, SQL, SQLX, DataForm, BigData, JS, Python;
Data Consultant, Inetum/Noesis, Portugal
Cloud Infrastructure Development and Maintaining;
Database Administration;
Network Analysis and Spatial Data Visualization;
Training of Interns;
Tech: Azure, GCP, Terraform, Bash, Python, Postgres, PostGIS;
Census Agent of Admnistration and Informatics, IBGE, Brazil
Support Census Research in Assigned Areas/Regions;
Reviewing Field Sites and Research Reports;
Training of Census Agents to Conduct Interviews;
Data Collection and Supervision;
Tech: Excel and Proprietary Software;
Applied Data Scientist, 4Intelligence, Brazil
Data Cleaning and Transformation;
Statistical and Machine Learning Modeling;
Time Series Forecasting and Anomaly Detection;
Development of Data Pipelines;
Tech: Python, R, Bash, Postgres, SQL, Azure, Excel;
Junior Data Scientist, Aquarela, Brazil
Data Cleaning and Transformations;
Development of Analytical Dashboards;
Statistical Modeling and Machine Learning;
Deployment of Dashboards in Production;
Tech: R, Python, Docker, JS, CSS, GCP, AWS;
Education
MSc in GeoSpatial Technologies - University of MΓΌnster
BSc in Economics - Federal University of Santa Catarina
Certifications
- Google Professional Machine Learning Engineer Certification (GCP)
- Google Associate Cloud Engineer Certification (GCP)
- Google Associate Data Practioner Certification (GCP)
- Google Cloud Digital Leader Certification (GCP)
- Azure Associate Data Scientist Certification (Azure)
- Microsoft Certified: Designing and Implementing a Data Science Solution on Azure (DP-100)
- Microsoft Certified: Azure Data Fundamentals (DP-900)
- Microsoft Certified: Azure Fundamentals (AZ-900)
- Microsoft Certified: Azure AI Fundamentals (AI-900)
- Microsoft Certified: Security, Compliance, and Identity Fundamentals (SC-900)
- Microsoft Certified: Power Platform Fundamentals (PL-900)
Awards
- Merit-based fellowship for outstanding performance in the Masters of Science program in GeoSpatial Technologies
Methodological Approach
My work follows a rigorous analytical process: 1) Problem framing with stakeholders, 2) Exploratory data analysis, 3) Model development with validation, 4) Implementation strategy, and 5) Continuous monitoring. I emphasize reproducibility through version control and documentation, ensuring insights stand up to scrutiny.