Kaius De Paula Correa Email & Phone Number

State Of Paraná, Brazil

Brazil

• Working as an outsourced employee for Banco do Brasil, I:
• Developed a groundbreaking algorithm in people analytics that became one of Banco do Brasil's major successes. The solution led to millions in cost savings and significantly enhanced talent allocation for over 2000 new.
• Engineered a system that boosted operational output by 12x. Delivered the solution as a stable web application with Gradio and optimized the environment using PDM, leveraging pandas and PuLP optimization algorithms.
• Developed a data-driven decision-making system that utilized pandas, NumPy, and scikit-learn for feature engineering and model evaluation. Achieved an 80% accuracy across 14 labels for classifying team and venture.

Vitória, Espírito Santo, Brasil

• Automated repetitive tasks in R, freeing up valuable time for the team to focus on strategic initiatives and complex problem-solving increasing team productivity by 70%.
• Designed and automated an ETL system in R, integrating data from 150 Excel sheets from regional education departments into a unified, print-ready format. This process drastically reduced manual effort and streamlined.
• Built machine learning models using Python, scikit-learn, XGBoost, and LightGBM to predict demand for technical courses. Leveraged demographic, economic, and educational data to generate actionable insights, helping to.

Vitória, Espírito Santo, Brasil

• Developed clustering models in Python and worked on dimensionality reduction projects, applying PCA and UMAP to enhance data interpretation and optimize visualization.
• Managed files via S3, prioritizing the reduction of requests in buckets, which resulted in more agile and effective processes, contributing to an increase in the team's efficiency.

Viçosa, Minas Gerais, Brazil

• Created a comprehensive, interactive document on Econometrics, available at https://rpubs.com/kaiusdepaula, making advanced analytical techniques more accessible to students and professionals.
• Collected, standardized, and analyzed data from various public and private databases, leading to the development of reliable statistical models in R and RMarkdown, improving the accuracy and quality of insights.