Data Engineer
I am currently Data Engineer at Incognia where I’m working on fraud prevention, location fingerprint, and passwordless authentication.
Incognia is a US-based sister company to Inloco, and also the name of our anti-fraud solutions in Brazil. Our location technology offers private location awareness for use in mobile applications and connected devices. 30x more precise than GPS, Incognia uses network signals and on-device sensors to build an anonymous location behavioral pattern unique for each user, that provides location context and creates a private identity. Incognia is used by B2B and B2C companies for anonymized location insights, ID verification, authentication, and fraud detection.
Experience
Data Engineer
IncogniaAs a Data Engineer, I bridge the gap between raw data and actionable insights. I design, develop, and maintain robust data pipelines from various sources into data warehouses. My work involves:
- Design and implement high-throughput data pipelines using Apache Spark, Trino, and DBT;
- Developed and deployed data integration pipelines to ingest customer data for machine learning model solutions;
- Ensured data quality, consistency, and security by implementing robust testing and monitoring frameworks;
- Collaborated effectively with data analysts, data scientists, and business stakeholders to understand their data requirements and deliver actionable insights.
By ensuring data quality, security, and accessibility, I empower data-driven decision-making and innovation.
Data Scientist
Incognia- Reduced ride-hailing user fraud by 90% and bank account takeover by 98% through the development and implementation of advanced fraud detection models
- Solved complex analysis problems, applying advanced analytical methods such as statistical modeling to identify and mitigate critical risks
- Built and prototyped high-performance analysis pipelines that scaled to handle massive datasets, enabling real-time insights and improved decision-making
- Collaborated closely with cross-functional engineering teams to identify, design, and implement Inloco’s product enhancements
Data Scientist
Inloco- Leveraged time series techniques such as ETS (Error-Trend-Seasonality) and ARIMA to analyze large-scale mobile device data and identify key trends and patterns in user behavior
- Conducted A/B testing and other experimentation to evaluate the effectiveness of different targeting strategies and optimize ad campaigns for maximum ROI
- Developed and presented data-driven insights and recommendations to senior leadership, influencing key business decisions
Data Analyst Intern
Inloco- Analyzed user behavior data to identify key trends and patterns in mobile usage, including app usage, location history, and demographics
- Developed insightful reports and dashboards to visualize user behavior and market trends, providing valuable insights for sales and business development teams
- Supported the sales team in identifying and qualifying potential customers by providing data-driven analysis of their target markets and user bases
Education
MSc in Computer Science
Federal University of PernambucoThesis on Variable Weighted Fuzzy Clustering Algorithm for Qualitative Data. Supervised by Renata Maria Cardoso Rodrigues de Souza.Read ThesisBSc in Statistics
Federal University of PernambucoRead Thesis (in Portuguese)- Undergraduate Research Assistant;
- Probability & Exploratory Data Analysis Teaching Assistant;
- President, Statistics Department Academic Directory.
Thesis on Statistical Shape Analysis and K−Means Algorithm for 3D Data: A Cerebral Cortex Application. Supervised by Getúlio José Amorim do Amaral.
Technician Diploma in Business Administration and Management
State Technical School of PernambucoExchange Student
Taita CollegeParticipated in a semester-long exchange program at Taita College, New Zealand. Immersed myself in New Zealand’s culture, improved language skills, and gained international experience while studying as a regular student.
