- Developed an efficient Gibbs sampler for multivariate spatial count data.

- Developed a virtual assistant that does search and summarization tasks using Dialogflow CX and two attached data stores for response grounding;- Developed an internal library for using LLMs and serving structured outputs using Google Vertex AI, LangChain and Pydantic;- Cleaning and organizing data using Google BigQuery;- Produce models and studies using ML Python frameworks;- Delivered data products through the use of Cloud Functions and Pub/Sub;- Giving lectures and producing video content for the corporative education platform about Machine Learning and Data Science.

Conduct research in Spatial Statistics under the supervision of prof. Yuan Wang.Modelling of the Washington's state Youth Health Survey data.

- Data processing and modelling using Python and Google Cloud.- Promoting seminars about data science to foster a data- driven culture.

- Processing client data using Microsoft SQL Server, SSIS and SAS data warehouse.- Report automation using PowerBI dashboards.

- Research the interface between financial markets and macroeconomics using multivariate time-series models with regime-switching.

- Organize lectures about applied mathematics;- Quote prices for event shirts and prizes.

- Study the impact of initial values in the estimation of GARCH time-series models through maximum likelihood.