The Machine Learning Laboratory in Finance and Organizations (LAMFO) is a center designed to develop, apply and study organizational phenomena in the most diverse areas such as Marketing, Logistics, Public Administration, Human Resources and Finance. The use of Machine Learning has been increasingly used in Applied Social Sciences such as Economics, Accounting and Administration. The proposal is to develop algorithms capable of recognizing patterns in the data aiming at objectives stipulated by managers, analysts or researchers.

Today I work with clustering models to characterize the profiles and provide business insights at the Itaú Personnalité, the product dedicated to serve the high wealth clients.

Itaú Personnalité MIS area. Responsible for Datamart management and processing. Preparation of flow reports and process control. Creation of studies with a control group going through the stages of audience selection (sampling), intervention and impact analysis. The main tools are SAS, Jupyter Notebook and Hive.

My Summer Job was in the area of Analytics for the Prevention of Money Laundering - Financial Risks. Team project aimed at extracting and analyzing textual data via Text Mining from communications to COAF. Consolidation of databases with SQL queries, in the Foundry environment of the software company Palantir, and creation of indicators and statistics via PYTHON and R.

Projeto: "Bancos Públicos e o Financiamento do Desenvolvimento".

Projeto: “O Novo Papel das Grandes Estatais e dos Bancos Públicos para o desenvolvimento"- Técnicas econométricas/estatísticas.- Análise de banco de dados, por meio de programações: R, SAS, Python, SQL e STATA.- Apoio a pesquisas de políticas públicas.

Monitoring and calculation of indexes.Evaluate and forecast of monthly payment of health plan with mortality tables.Statistical and actuarial procedures were applied using the R software and Excel integrated with SQL and Access queries.