• 🏆 I currently work as a Tech Lead Data Scientist at Santander Bank Brazil.

• 🎯 I specialize in Credit Modeling, Pricing Optimization, Customer Segmentation, Churn Prediction, Propensity and Regression Models, Reinforcement Learning, Multi-Armed Bandit algorithms, Time Series Modeling, and Optimization Models.

• 💻 My technical skillset includes Python, PySpark, Databricks, MLflow, Kedro, R, Machine Learning, Reinforcement Learning, Survival Analysis, time series analysis, SQL, Git, FastAPI, Flask, CI/CD, Unittest, Docker, and cloud computing.

• 🎓 I hold a Master's in Business Administration with a specialization in Big Data and Analytics from FIA, as well as an engineering degree from Mackenzie Presbyterian University.

• 💡 I'm passionate about utilizing data to solve real-world problems and make a positive impact on the world. I'm also dedicated to education and mentoring, and I find joy in helping others learn about data science.

• 1️⃣ ML using Kedro pipeline
  • Model deployment/implementation using Kedro pipeline and airflow for a Kaggle competition challenge
• 2️⃣ Multi Armed Bandit Pyspark
  • implementation of a Multi-Armed Bandit (Thompson sampling, upper confidence bound and epsilon greedy)
• 3️⃣ Adversarial models
  • Python Class for Detecting Data Drift and Performing Feature Selection

🌐 more projects...

Feel free to connect and explore my open-source projects. Let's collaborate and harness the potential of data! 🚀