Matheus

I am a Senior Data Scientist with over 5 years of experience transforming complex data into high-impact financial solutions. My career combines technical rigor in Machine Learning with a business-driven mindset focused on ROI across diverse industries and departments.

Throughout my career, I have been recognized for my autonomy, analytical creativity, and consistent delivery, while maintaining strong collaborative relationships with stakeholders and peers.

Key Impact Highlights:

• Mercado Livre: Lead the performance evaluation of the platform's Gross Revenue (GMV) forecasting models. I bridge the gap between technical metrics and business stakeholders, ensuring high-accuracy predictions to support strategic decision-making.
• Itaú Unibanco (CRM & Credit): Delivered multi-million annual gains through advanced modeling:

CRM: Developed propensity models, churn prediction, disengagement analysis, and recommendation systems.

Credit: Designed and implemented Neural Network models for delinquency prediction (Credit Scoring).

Generative AI (GenAI): Driving innovation with LLMs, developing solutions ranging from advanced chatbots to Multi-Agent systems using LangChain and LangGraph.

I consider myself a "problem solver" at heart—whether the solution requires a sophisticated Deep Learning architecture, a strategic business rule, or simple, effective logic.

Tech Stack:

Languages: Python (Pandas, Polars), SQL.

AI & Machine Learning: Scikit-Learn, XGBoost, PyTorch, TensorFlow, Keras, MLOps.

Generative AI: LangChain, LangGraph, RAG, Embeddings, Semantic Search, Prompt Engineering.

Cloud & Infra: AWS (SageMaker, S3, Glue, Step Functions, ECS, Kubernetes), Docker, CI/CD for ML, MLFlow.

Data Engineering: Apache Airflow, Spark, Hadoop.

Data Viz: Plotly, Streamlit.