I worked as a freelancer providing technical support in machine learning algorithm training and data mining applications in customer databases.

● Acting as a developer in big data environment in the development of Financial Data ETL processes, using PySpark, SAS, SQL or PowerCenter technologies, ensuring compliance in processes and excellence at all levels.● Analysis and mapping of processes, analysis of failures and elaboration of corrective actions, to contribute to the continuous improvement of operational flows - using the Control-M software for the scheduling of jobs management● Requirements gathering with stakeholders for the development of new solutions, aiming to automate and optimize IT processes.● Preparation of management reports, monitoring of performance indicators and provision of subsidies to support strategic decision making. Main languages/technologies used: PySpark, SAS, SQL and PowerCenter.

● Responsible for creating propensity models using statistical techniques and machine learning, to ensure compliance in processes and excellence in all operations performed.● Acting with processes transcription used by the marketing analytics area, ensuring the alignment among departments.● Failure analysis and process mapping, recounting the preparation of corrective actions, to contribute to the continuous improvement of operational flows.● Preparation of management reports and monitoring of KPIs, as well as the presentation of results to senior management for support in decision making. ● Development of a web scraping to collect names or addresses from a list of companies for the validation of an internal database.Main languages/technologies used: R, Python and SQL.

● Responsible for ensuring technical support in statistical analysis and creation of machine learning models focused on marketing, contributing with quality and excellence required in the scope agreed between those responsible.● Development of a tree algorithm, used to recommend products to internal or external customers.Main languages/technologies used: R, Python.

● Responsible for collecting and analyzing data from the company's industrial sector to improve the efficiency of production processes, as well as reduce costs and increase customer satisfaction.● Use of statistical control of processes in the monitoring of requests for warranty drives of the compressors producedMain languages/technologies used: R, Excel.