About Me

🎓 Software Engineering student focused on Data Science and Artificial Intelligence, with strong emphasis on machine learning for real-world decision-making and risk analysis problems.

I have hands-on experience building end-to-end data science solutions, from data extraction and exploratory analysis to feature engineering, model training, evaluation, and deployment.

My main interests include predictive modeling, risk analysis, and automation, using tools such as Python, SQL, XGBoost, and data visualization platforms to support data-driven decisions.

I approach data science as a complete pipeline, ensuring that models are not only accurate, but also interpretable, reproducible, and aligned with business objectives.

💡 Goal

My goal is to become a full-fledged Data Scientist, I'm always looking for new challenges and new technologies to learn and master.
I constantly aim to combine statistics, programming, and software engineering to solve problems efficiently.

🔧 Key Skills

• Python (Pandas, NumPy, Scikit-learn, XGBoost, Selenium, BeautifulSoup);
• Databases (PostgreSQL, MySQL, MongoDB);
• Machine Learning (Modeling, Preprocessing, Metrics, Explainability);
• Generative AI & LLMs (Prompt Engineering, Whisper, Gemini API, LangChain);
• Business Intelligence (Power BI, Excel, Power Query);
• Version Control & Collaboration (Git and GitHub);
• Agile Methodologies (Scrum and Kanban).
• Languages: Portuguese (Native), English - C1 (Cambridge English: First, Score 180).

🚀 Featured Projects

• Credit Approval Simulator : An interactive credit approval simulator, it uses a XGBoostClassifier model to predict default risk and set personalized rates;
• Olist Data Analysis : A comprehensive data analysis project using PostgreSQL and Power BI to extract business insights from a large e-commerce dataset;
• NLP Post Classifier : Post classifier that uses NLP techniques and a trained model to categorize LinkedIn job posts prior collected by Selenium;
• YouTube LLM Summarizer : A complete pipeline that downloads videos, transcribes audio with Whisper, and generates structured summaries using Gemini 2.0 Flash.

💬 Looking for an internship in Data Science and Machine Learning.