• Developed Python automation systems that compare multi-source data against a source of truth and generate daily Slack alerts, eliminating manual QA checks • Created automation agents using CustomGPT, Claude Code Commands/Rules, and Prompt Templates to standardize workflows company-wide • Built production RAG pipeline (Notion → S3 → embeddings → conversational agent) serving all company employees, reducing document search time across teams • Built APIs to extract Amazon data into BigQuery with deduplication logic, safe backfilling, and retry mechanisms • Managed cloud infrastructure across GCP (BigQuery, Cloud Storage, IAM), AWS (EC2, S3, CloudWatch, IAM), and Azure (Web App) • Hosted production servers on AWS using CI/CD pipelines with GitHub Actions • GAN-based generative AI development for internal automation use cases • Data Analysis (Python) • Power BI Development and Management Skills: Amazon EC2 • Artificial Intelligence (AI) • Large Language Models (LLM) • Google BigQuery • Python

• Led a data team of 5 across 3 time zones, acting as Data Engineer, Data Scientist, and Data Analyst while running Scrum ceremonies • Built ETL/ELT pipelines processing 90M+ rows daily using Python, SQL, and cloud-native tools • Implemented AI-driven workflows through crafted prompts using OpenAI and Gemini APIs, automating repetitive analysis and reporting tasks • Developed dashboards in Power BI, Streamlit, Looker Studio, and Retool for executive and operational stakeholders • Managed Google BigQuery data warehouse and automated data retrieval from Amazon, Shopify, Notion, and Jungle Scout APIs • Built Python-based data apps for internal use Skills: Vector Databases • Retrieval-Augmented Generation (RAG) • Large Language Models (LLM) • Google Cloud Platform (GCP) • Google BigQuery • Metodologias Agile • Amazon Web Services • Python

• Developed Computer Vision solutions using Python and ML models for automation and cost reduction • Implemented real-time OCR (Optical Character Recognition) to extract text from images and documents • Created interactive dashboards for visual insights and project tracking under Scrum methodology Skills: Computer Vision • Large Language Models (LLM) • Metodologias Agile • Inteligência artificial • TensorFlow • Aprendizado de máquina • Python • Microsoft Power BI • GitHub

Unimed is the largest cooperative company in the health sector in the world and the largest medical technical assistance network in Brazil. • Conducted BI analysis and developed reports/dashboards in Power BI using DAX • Performed statistical analysis with Python and managed ETL processes for data extraction and transformation • Applied Machine Learning algorithms for anomaly detection Skills: Microsoft Excel • Metodologias Agile • Microsoft Power BI • Python (Programming Language) • SQL