CV

CV#

Led end-to-end data analysis and machine learning projects, including data collection, cleaning, modeling, and validation using AWS tools (Athena, EMR, SageMaker, S3).
Collaborated with multidisciplinary teams (IT, product, marketing, operations) to align analytical solutions with business objectives.
Strong communication skills to translate business problems into technical solutions effectively.
Skilled in Big Data manipulation and analysis, as well as deploying models in production environments.

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, S3, Step Funciton, EMR, CloudFormation, CloudWatch, IAM Terraform, 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 for more than 270 tables, using Glue, Step Function, EMR, CloudFormation
Optimized PySpark algorithms, achieving a 52% increase in performance in EMR and Glue.
Monitored and optimized cost metrics in the AWS, ensuring efficient resource utilization and achieving a 68% cost reduction.
Continuous Integration/Deployment Pipeline Integration, pull requests, code reviews in GitHub for more than 12 pipelines.

Grown by 257% product conversion through predictive models and earning an annual R$50M increase.
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.
Developed and maintained ETL pipelines using Python, SQL and SAS for more than 15 machine learning models.
Utilized Python for automation, achieving a 75% reduction in workload effort.

Mechanical Engineering with a focus on Computer Vision, Machine Learning, Mechatronics, supported by a research scholarship.
Leading research on projects with a budget exceeding R$48 millions acting as Specialist in Machine Learning, Computer Vision.
Guided approximately 28 undergraduate students in various projects within the laboratory, providing mentorship and technical expertise.

MBA in Software Engineering (385h) a program focused on enhancing skills in technology and programming with an emphasis on DevOps, management, development, validation, software solution management, and improvement, with special emphasis on Python

Major in Mechatronics Engineering with Emphasis on Automotive (500h). Three years of scientific initiation projects with a scholarship.
Teaching Assistant in Calculus II and Control Systems for classes of approximately 50 undergraduate students each.