• Led the financial modernization of the bank by replacing legacy systems with a public cloud solution, enhancing efficiency and scalability democrazing more than 57TB of financial data using latest Cloud Computing tools such AWS, Glue, EMR, Athena, Spark, Iceberg, Lambda, EventBridge, CI/CD, GitHub Pipes.• Designed and implemented scalable solutions for automating manual loads on financial tables, achieving a 95% reduction in table load. • Integrated various data environments into the Public Cloud using Linux and SQL routines, reducing legacy table consumption by 93%.• Designed and implemented data quality solutions for tables, enhancing data integrity and increasing quality control by 375%.• Led the migration of the legacy environment, resulting in an annual cost reduction of R$15.7M and a 65% decrease in processing time.• Design, develop, and maintain data pipelines, ETL in AWS.• Optimize PySpark algorithms.• Conducted meetings with business teams to gather requirements, develop queries, and deliver data solutions tailored to meet business demands.• Monitored and optimized performance and cost metrics in the Public Cloud, ensuring efficient resource utilization.• Continuous Integration/Deployment Pipeline Integration, pull requests, code reviews.

• Creating Machine learning models for the CRM area, understanding the business problem to be solved, and turning in an ML problem. • Grown by 257% product conversion through predictive models and earning an annual R$50M increase.• Construction of predictive models for product offerings and models for customer clustering• Improved by 340% input and output controls for predictive models and segmentations. • Increased by 290% the control performance of predictive models (using classification metrics, KS, and Gini), understand more than 30 bank products, and their target variable, and reply to the metrics in developing the machine learning models.• Leverage team maturity by applying data documentation, metadata management and knowledge sharing.• Developed and maintained ETL pipelines using Python.• Using Python for Automation and obtain a reduction of 75% in the time spent.• Conducted meetings with business teams to gather requirements and deliver solutions tailored to meet business demands.

• YouTube channel that aims to teach courses in technology and engineering. • Almost 6K subscribers, more than 100 Videos, and 320K Views. • Programming with MATLAB, Data Structure, and Algorithms• Data Science Course using Python, Pandas, Numpy, matplotlib, SciPy, scikit-learn, and for documentation git, GitHub, and LaTeX.

As a project manager, I led the team to achieve the best results in the history of the project. Key accomplishments and responsibilities included:• Organizing the largest clothing collection ever, with over 55,000 pieces donated.• Securing a 400% increase in the campaign budget, marking the highest funding level in the project's history.• Supporting over 50 social institutions, delivering a significant social impact across the city and surrounding region.

Led the design and fabrication of the prototype chassis structure for the Formula SAE competition, with key achievements including:• Led the team's first modal test of the chassis, earning 2nd place in the design category at the national competition.• Designed the chassis using CAD, FEM, and structural analysis, contributing to the team's 5th place finish in the national competition.• Expanded the documentation for chassis design, manufacturing, and experimental testing by 300%, leaving a lasting legacy for the team.