💻 Developer in progress | Backend, Data, Machine Learning & AI
🎓 5th semester of Systems Analysis and Development – Unisinos
💼 Data Analyst – VIVO (Telefônica Brasil)
🚀 Focused on backend, data science, machine learning, and data-driven solutions

I am a professional in career transition to the Tech field, with a solid background in programming, data analysis, and backend development.

Currently, I am directing my studies and projects toward Backend, Data Science, Machine Learning, and AI applications, mainly working with Python and SQL in:

• exploratory data analysis
• modeling and ETL pipelines
• building APIs that support data-driven solutions

All my hands-on projects are available here on GitHub, where I currently aim to keep my focus on data analysis, data visualization, automation, and applied AI.

Main skills:

• Languages and frameworks: Python, SQL, Java, FastAPI, Pandas, NumPy
• Databases: MySQL, SQLite, PostgreSQL, SQL Server, Oracle, MongoDB, Neo4j
• Tools and methodologies: Git, Linux, Docker, Scrum, Kanban, Power BI, Excel
• Languages: Fluent English | Intermediate Spanish

Recently, I was approved in three Santander bootcamps, with a practical focus on data and backend:

• 📊 Advanced Excel – Dashboards, ETL, VBA automations, and PostgreSQL integration
• 🐍 Backend with Python – REST APIs, FastAPI, MongoDB, and automated testing
• 🐍 Data Science with Python – Focus on Python, data analysis, machine learning, databases, and cloud computing with AWS.

My previous experience in music production provided me with skills such as organization, effective communication, creativity, and teamwork, which I now apply in building technological and analytical solutions.

• Backend Development
• Data Science
• Machine Learning
• Data Engineering (entry-level)
• Data Analysis

✔ Python – Backend, data analysis and visualization with Pandas, NumPy, Matplotlib, Seaborn, and Streamlit
✔ AI & LLMs – RAG, LangChain, LangGraph, agent creation, and API integration
✔ Machine Learning – Fundamentals, pipelines, model validation, and metrics
✔ SQL – Modeling, advanced queries, ETL, and CRUD
✔ Java – OOP and data structures (logical foundation)
✔ Excel – Dashboards, Power Query, and VBA automations
✔ Power BI – ETL, modeling, and analytical dashboard creation

🔹 Service Desk Agent
AI agent focused on customer service and support automation.

🔹 FAQ Agent
AI agent for FAQs.

🔹 AI Agent
Agent capable of listing, reading, overwriting files, and executing Python scripts.

🔹 AI Agent with Web Search
AI agent that uses RAG and web search to answer questions about LLMs.

🔹 Interactive Dashboard
Salary analysis in the data field using Pandas + Streamlit, with filters and interactive visualizations.

🔹 FURIA ChatBot
Telegram chatbot built with Python and CrewAI.

🔹 Store API
REST API for product CRUD operations.

🔹 Sports API
API for athlete and category management.