Leads the team in Business Intelligence Education, leveraging our existing framework to guide would-be data and analytics practitioners on their journeys to self-serve analytics. By curating content to lead our citizen developers from promoters through catalysts and into self-serve data developers in the John Deere Financial organization.

Leads data strategy across Logistics Brazil, being responsible for:- Capturing business needs and translating it into data solutions- Spread the data driven culture in a very heterogeneous environment - Manage the delivery of data products into logistics business area

Performed as Data Business Analyst in project related to the largest healthcare company in the world. Being responsible for:- Work very close to the business identifying its problems and consequently opportunities- Analysis of large amounts of data aiming to find patterns and generate insights to answer key questions- Develop and manage business requirements / user stories- Communicate vision to developers- Jira Use (Prioritization Techniques, Requirements Refinement, Backlog Management, Conflict Management, Time Management)

- Implemented interactive dashboards to monitor the company's different departments in Tableau. From the SQL script to the final design. This activity facilitated the monitoring of sales goals, visualization of machine/employee yields, and errors in field operation, among others- Plant identification Analysis with drone surveys using Google Earth Engine as the main tool- Development and review of land use maps of approximately 30 farms using QGIS, PostgreSQL and SQL Server

- Developed a routine for downloading series of historical fluviometric data from Jaguari River Basin, to build a more complete and reliable database in less time.- Performed, in the R software, analysis of statistical indices to define the most compatible hydrological model with the National Water Resources Policy- Processed remote data in ArcGIS environment to delimit Micro Hydrographic Basins and define the annual rainfall regime in different regions

- Built a database with daily rainfall information from satellites- Created routines for downloading and processing remote sensing products through python programming- Produced annual average rainfall maps for company farms and possible acquisition areas using ArcGIS and Adobe Illustrator- Investigated the causes of the drastic climate changes observed in certain years- Conducted studies relating variables of the El Niño phenomenon with TRMM satellite products

- Generated zonal crop yield statistics for different crops in 6 African countries through ArcGIS software- Analyzed how climate change is influencing mortality in African countries based on differences in agricultural production in each region- Worked on NDVI (Normalized Difference Vegetation Index) data processing in order to identify disturbances in crops during the years of analysis- Interacted with representatives of different cultures around the world during this opportunity