Development and Implementation of Data Lake, Dashboard, and LLM Chatbot: Built a comprehensive data lake, developed interactive dashboards, and implemented a chatbot using large language models (LLM) with fine-tuning for a global steel manufacturer. Leveraged Azure tools (Data Factory, VMs, Synapse, Automation, Logic Apps, OpenAI) alongside LangChain and Retrieval-Augmented Generation (RAG) techniques to enhance the LLM model.Key words: steel manufacturing, data lake, chatbot, LLM, fine-tuning, Azure, RAG, LangChain, data integration.Cloud Adoption and Analytical Transformation: Supported an analytical transformation project for an insurance company, recommending cloud adoption to enhance data governance and analytical maturity.Key words: insurance, cloud computing, Azure, data governance, analytical transformation.Churn Prediction Models: Built churn prediction models for a wine subscription company, focusing on imbalanced data modeling, feature engineering, and data preparation. Optimized models using XGBoost, genetic algorithms for feature selection, and Shapley Values to identify churn drivers.Key words: wine subscription, churn prediction, XGBoost, genetic algorithm, Shapley Value.Default Prediction Models: Developed default prediction models for a small bank using XGBoost, Random Forest, and LightGBM, applying imbalanced data techniques and KS metrics for optimizing credit risk assessments.Key words: banking, default prediction, XGBoost, LightGBM, KS-statistic.Dynamic Pricing Model: Assisted in developing a dynamic pricing model for an online beauty retailer, focusing on data processing and A/B testing with genetic algorithms.Key words: online retail, dynamic pricing, genetic algorithm, A/B testing.Customer Segmentation: Analyzed customer patterns for an automotive services company using K-means clustering to enhance understanding of customer behavior.Key words: automotive services, clustering, K-means, customer segmentation.

Led a data automation and preparation project for a major company in the construction sector, focusing on building and optimizing data pipelines and ETL processes to ensure efficient data flow and accuracy.Developed and maintained automated data workflows to streamline the extraction, transformation, and loading (ETL) of large datasets from various sources.Created comprehensive data visualizations using Power BI, providing key stakeholders with actionable insights and enhancing data-driven decision-making.Collaborated with cross-functional teams to identify data needs and design solutions to improve reporting and analytics capabilities, increasing operational efficiency.Key words: data automation, ETL, data preparation, data pipelines, Power BI, data visualization, construction sector, analytics, process optimization.

During my internship at Alvarez Marsal, I contributed to a data automation and preparation project for a major company in the construction sector, focusing on creating and optimizing data pipelines and ETL processes to ensure efficient data flow and accuracy.I assisted in maintaining automated workflows for extracting, transforming, and loading (ETL) large datasets from various sources, and created data visualizations in Power BI to provide actionable insights to stakeholders. I also collaborated with cross-functional teams to identify data needs and enhance reporting and analytics capabilities, supporting operational efficiency.

During my internship at Revelo, a HR tech company, I supported clients by developing key performance indicators (KPIs) and conducting Net Promoter Score (NPS) studies to evaluate customer satisfaction and loyalty. I worked closely with the analytics team to generate insights and craft strategies that enhanced our clients' success and optimized their recruitment processes.In this role, I gained hands-on experience in data analytics, including identifying trends, analyzing data patterns, and presenting findings to stakeholders. I also learned to leverage data-driven insights to guide decision-making and improve overall client satisfaction. This internship allowed me to build essential skills in analytics and client management while contributing to meaningful outcomes in a dynamic, tech-driven environment.

As a teacher and volunteer assistant at the "Cursinho Florescer da USP" (a preparatory course for university entrance exams), I taught math classes, specifically focusing on geometry and trigonometry. Additionally, I was responsible for organizing events related to the course, such as charity bingos, simulated exams, and the general coordination of the program.

The Chemical Engineering Association (AEQ) is the academic center for chemical engineering students at the Polytechnic School of USP.The AEQ Internships project aims to present the course's quarterly cooperative model to companies, thus enabling internship partnerships between companies and chemical engineering students.As a project collaborator, I help organize the project, focusing primarily on communication with companies.

As a bilingual Japanese ⇆ Portuguese translator, I was responsible for the simultaneous and written translations for the company (with a certificate of excellent work)

Como técnico de informática, trabalhei em consertos gerais de computadores e notebook, instalação de programas, formatação e manutenção de rede.