- Development of measurement causal inference methodologies tools to access marketing efficiency from all business units and countries.

- Development of causal models and causal inference studies for personalization of product offers and optimização of marketing resources;- Implementation of agile methodologies with Data Product Owner to Design and Plan Data Solutions;- Predict LTV of custumers in early custumer journey;- MLOPS practices for the Data Science Models.

- Development of Custumer Level Profitability with Spark; - Implementation MLOPS practices for the Data Science Models; - Finantial/Profitability Reporting to the Directory Board; - Propensity Models to Optimize CRM Product Offers.

- Agile Softaware Development in B2B Data Science Projects;- Statistical Modeling and ML algorithms with R and Python Production Projects;- Model deploy through APIs (Flask and Plumber) with Docker;- Statistical Dashboards App deploy with Docker.

- Agile Softaware Development in B2B Data Science Projects;- Use of Topic Modeling and Sentiment Analysis (with R libraries)to cluster tecnological research trends;- Integration of Meta Trader 5 with R and Python to build trading algorithms;- Data visualization of Natural Language Processing computations results with Shiny and Flexdashboard frameworks.

- Intern in the Research Department. Focused on learning to use R (statistical programming) in Big Data environment (Hadoop ecosystem) for data analysis.- Research with statistical modelling and machine learning (mainly with R) in Big Data environment (Hadoop ecosystem) for software of criminal investigation cases management.