Joel Almeida

BNP Paribas • Lisbon, Portugal

• Technical Lead for the Data Governance Tool 2.0 (DGT 2.0) at the RISK Data Platform
• Development of DGT 2.0 from scratch with a team of 3 developers, using Python/FastAPI, Angular/TypeScript, Neo4j, Kubernetes and Jenkins/TeamCity

BNP Paribas • Lisbon, Portugal

• Work at BNP Paribas Risk Systems with teams across the globe
• Multiple innovation projects, including AI-driven dashboards and graph databases with TigerGraph (GSQL)

BNP Paribas • Lisbon, Portugal

• Responsible for the redesign and development from the ground up of the reserves framework used by Risk Global Markets, mainly using Python and SQL
• Provide users with internal tools that allow them to develop their own products

Accenture • Lisbon, Portugal

• Big Data Engineer at one of Portugal's leading telecommunications companies, working in Agile teams (Scrum, Jira, Confluence)
• Designed and built ingestion pipelines for the Hadoop ecosystem and company-wide data loading tools using Spark (Scala), and contributed to the internal data ingestion framework
• Worked with the CRM data science team on data preparation and validation for machine learning models, along with training and prediction frameworks
• Led an internal project for the CRM team on new data methodologies for client management, which became a critical company-wide process
• Mentored at the Accenture Datathon and tutored newcomers at the Accenture Applied Intelligence Academy

Link Redglue • Lisbon, Portugal

• Cloud data storage, processing and analytics solutions for moey!, a Portuguese fintech, using Azure, Databricks and Apache Spark
• Internal projects using Python and Django, and machine learning using Python

EDP • Lisbon, Portugal

• Predictive machine learning models in Python to forecast grid energy consumption, and distributed calibration of the prediction models (Python, Scala, Spark)

EDP • Lisbon, Portugal

• Data analysis on the Hadoop ecosystem (HBase, Hive, Zeppelin, Spark)
• Grammar and parsing tool (Java, ANTLR4) connecting an Oracle database to a predictive model for grid energy consumption

Instituto Superior Técnico • Lisbon, Portugal

• Specialization in data processing and analysis