-Proficiency in planning and executing randomized controlled experiments-Develop tests in bank services and machine learning models-Apply causal inference and its applications-Lead company’s employees training-Utilize AWS Sagemaker studio and Athena

-Developed machine learning systems for the company insurance division-Worked with classification applied to avoid churn and clustering for customer segmentation.-Developed model validation technique-Developed code for data cleaning, analysis and visualization-Designed Data Science methodology (based on CRISP-DM)-Applied Version control system Git/Git Lab-Utilized Cloudera Hive/Impala

Statistical analysis and visualization of TSE electoral data using Python. Probabilistic modeling of electoral scenarios using distributions of random variables.

-Prepared and analyzed data for machine learning modeling-Constructed control reports and presentations-Developed and administered sites/subsites in MS Sharepoint to optimize communication, processes and squad management-Proficiency in agile/SCRUM methodology

Researched in the area of Quantum Mechanics (Quantum Entanglement and Entangled Photons) in a scientific initiation scholarship from the São Paulo Research Foundation (FAPESP) at Federal University of ABC (UFABC).

Carried out several pedagogical actions, such as: theoretical/experimental classes, monitoring students, and preparing assessment activities in a pedagogic program scholarship from the Coordination for the Improvement of Higher Education Personnel - CAPES at Federal University of ABC (UFABC).