Expert professional in Data Science, Data Engineering, Economics and Analysis. With analytical skills and knowledge in statistical modeling, economics and business information. Use tools like R, Python, Spark, SQL, Power BI, Excel, AWS, Azure, and Databricks. Agility, quick learning ability and solid presentation skills. Fluency in English, customer orientation and goal-driven results
Use R, Python, Spark, Databricks, SQL, AWS, Azure, and GCP to drive innovative and impactful results.
Major achievementImprove and optimize infrastructure and data flows, designing advanced analytical solutions with a focus on artificial intelligence and machine learning.
Uses SQL, Python, Spark, R, PowerBI.
Major achievementDevelopment, design and execution of ETL, Business Intelligence and Machine Learning pipelines with banking data from Hadoop data lakes.
Performs analysis, data engineering, Business Intelligence and Machine Learning implementations with municipal data.
Major achievementMember and substitute leader of the Fiscal Intelligence Unit of the Undersecretary of Revenue.