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Edmar Bevilaqua

@edmarbevilaqua

Senior Data Scientist at White Cube, designing a multi-agent system that automates master-data standardization across business domains.

Brazil

Message

What I'm looking for

I aim to apply the latest advancements in data science, data engineering, and machine learning, using modern tools and best practices to drive innovation and enable confident, data-driven decisions.

At White Cube, I designed and implemented a multi-agent system for master-data standardization, using Azure Service Bus, Cosmos DB, Function Apps, and RAG pipelines to automate harmonization across business domains.

Previously at White Cube, I built LLM-powered HR conversational agents and enterprise knowledge agents with Copilot Studio. I also benchmarked LLMs and applied data governance frameworks, including DAMA-DMBOK and NIST AI RMF.

Across data science and engineering work in forestry, retail, and pricing, I’ve developed predictive models, data pipelines, and cloud data infrastructure. I’m pursuing a Master's degree in Applied Computing at the Federal University of Rio Grande do Sul (UFRGS).

Experience

Work history, roles, and key accomplishments

Current

Senior Data Scientist

Current

White Cube

Jun 2026 - Present (4 months)

- Designed and implemented a multi-agent system for master-data standardization, leveraging Azure
Service Bus, Cosmos DB, Function Apps and RAG pipelines to automate data harmonization across
business domains.

Data Scientist

White Cube

Sep 2025 - Jun 2026 (9 months)

- Built LLM-powered HR conversational agents, significantly reducing ticket resolution time and
ensuring consistent, high-quality responses for employees, improving internal service efficiency.
- Built enterprise knowledge agents using Copilot Studio, acting as internal encyclopedias that
centralize institutional information and reduce knowledge silos.
- Conducted sector-wide analytics on the Braz

Data Scientist / Data Engineer

BPTech

Sep 2024 - Jun 2026 (1 year 9 months)

- Development and automation of data pipelines (ETL/ELT) for Business Intelligence (Python, Apache Hop, Apache Airflow);
- Structuring and modeling data warehouses and data lakes for large volumes of data (SQL, Spark, Azure, Databricks, Snowflake);
- Development of machine learning models for classifying the best clonal forest species (Python, Scikit-Learn, Poetry, MLFlow);
- Data analysis and vi

Machine Learning Engineer / Data Engineer

Aprix

Feb 2025 - Sep 2025 (7 months)

- Modeled data, created databases, and configured the back-end (PostgreSQL, DBDiagram, Python);
- Created integration endpoints (FastAPI, Python, REST API, OOP);
- Implemented infrastructure as code (IaC) to ensure scalability and reproducibility (Terraform, Docker, Kubernetes, Azure);
- Customized and parameterized client-facing platforms (Typescript, Angular, Node.js);
- Parameterized and config

Pricing Intelligence Analyst – Data Analyst

Lojas Quero-Quero S.A.

Sep 2024 - Feb 2025 (5 months)

- ETL processes in SQL databases (Apache Hop, Airflow, PostgreSQL);
- Performance analysis of promotions and pricing of products on sale (Python, Excel, Microsoft Fabric, PowerQuery, Power BI);
- Business intelligence and data manipulation (PowerBI, Python, Google Sheets, Excel).

Intern of Data Science

CMPC Brasil

May 2023 - Sep 2024 (1 year 4 months)

- Development of algorithms for automation and data manipulation (Python);
- Data extraction, transformation, and loading (ETL) and business intelligence analysis (SQL, Power Query, M programming language);
- Dashboard creation and maintenance (Power BI);
- Application development (Microsoft Power Apps, Power Fx);
- Process automation (Power Automate);
- Implementation of data solutions (Microsoft

Remote Sensing Laboratorist

Labseres

Oct 2022 - May 2023 (7 months)

- Analysis of spectroradiometry data (Python, R, Jupyter, Spider).
- Creation of algorithms for data processing and manipulation (Python and R).
- Modeling forest attributes using with spectroradiometry data to differentiate between species (LiDAR, Python, Excel, VBA, PowerQuery).

Intern of Forest Engineering

RS Florestal

Mar 2021 - Apr 2022 (1 year 1 month)

- Analysis of forestry data (inventory, survival, seedling planting);
- Creation and handling of geospatial maps (ArcGIS, QGIS);
- Development of automation macros (Excel, VBA);
- Data analysis and manipulation (Excel);
- Creation of business intelligence dashboards (Microsoft Power BI).