• Focused on data analysis, machine learning, and reproducible workflows
• Interested in predictive modeling, exploratory analysis, interpretability, and data visualization
• I enjoy building projects that connect data, code, and clear technical communication
• Also comfortable shipping full-stack web apps to support and showcase analytical work
• Always learning and improving through hands-on analytical work

Predictive Modeling Survival Analysis EDA Feature Engineering Model Evaluation Interpretability Hyperparameter Optimization Data Visualization Analytical Pipelines Full-Stack Web Technical Writing

• TCC - Modelagem Preditiva — Pipeline completo com CatBoost, LightGBM e Logistic Regression, otimização com Optuna, calibração de threshold, interpretabilidade via SHAP e análise de robustez.
• Radar de Risco - Sobrevivência de CNPJs — Análise de sobrevivência de empresas brasileiras (Kaplan-Meier, Cox) combinada com modelagem de risco de baixa em 12 meses e storytelling analítico.
• ML from Scratch — Implementações em Python puro/NumPy de Decision Tree, Random Forest, KNN, KMeans, Linear/Logistic Regression, Naive Bayes, PCA, Perceptron e SVM.
• Portfólio Pessoal (Full-Stack) — Frontend em Next.js 16 + React 19 + TypeScript, backend em Express 5 + Firebase Admin + Firestore, com autenticação JWT, validação Zod e testes com Vitest.
• Dos Santos Plumbing Services — Site institucional em Vite + React 19 com React Router, otimização de imagens via Sharp e pipeline de testes com Vitest + Testing Library.

• Analytical projects with strong documentation and reproducibility
• Predictive models with practical evaluation and interpretation
• Clear visual narratives that make data easier to understand
• Full-stack web apps that turn analyses into usable products
• Workflows that go from raw data to final report with consistency