David Camurça
Technology professional based in Manaus. I work across project management, artificial intelligence, data, and software engineering.
Born and raised in inland Amazonas, I am fascinated by the region’s natural and cultural richness. I have dedicated my career to exploring emerging technologies that can support the Amazon’s sustainable development.
I solve business problems with data and artificial intelligence. My foundation is software engineering, and my work also spans team leadership, product thinking, and communication between technical and business teams.
Interests: statistics, economics, cybersecurity, and open-source software.
An end-to-end pipeline for rainforest conditions that uses Perch v2 to classify bird species, YAMNet to detect chainsaws and gunshots, Wikidata for grounding, and NVIDIA Nemotron for conservation-ready explanations.
Tracks the current Rio Negro water level, historical extremes, weekly changes, and year-over-year comparisons. The project makes flood and ebb cycles easier to understand using data from the Port of Manaus.
A dashboard with charts and tables tracking excess deaths across state capitals and states, calculated from public data.
I lead data projects end to end, connecting data engineering, BI, digital product, and business leadership. I also promote generative AI and automation to improve productivity and reduce manual work.
Led data analysts, created and monitored KPIs and dashboards for business areas including Credit and Sales, and managed ETL and data integration processes.
Worked with customer acquisition, credit risk analysis, machine learning, statistics, and data visualization using Python, Apache Spark, Azure Databricks, and Salesforce.
Automated reports with Python, Pandas, Excel, and Google Sheets, supporting data-driven decisions across the company’s business units.
Built reporting automations with Python and Excel for Finance, Marketing, Accounting, and Purchasing, improving process speed and data accuracy.
Researched and developed products for Apple platforms, working with Swift, Objective-C, prototyping, Design Thinking, Scrum, product development, and machine learning fundamentals.
Postgraduate Specialization in Generative Artificial Intelligence
Postgraduate Specialization in Artificial Intelligence and Big Data
Bachelor’s Degree in Software Engineering
Python, PySpark, Pandas, SQL, ETL, Data Lake, Azure Databricks, machine learning, generative AI, data visualization, business metrics, project management, and team leadership.