Hi there, I'm Diego 👋

Welcome to my GitHub!

• 🔭 Currently Working On: Data science projects focusing on real-world applications.
• 🌱 Learning: Advanced techniques in MLOps and Machine Learning to enhance project scalability and efficiency and Generative AI.
• 👯 Collaboration: Eager to contribute to non-profit projects with a meaningful impact.

Public portfolio

• Multimodal real state search - Multimodal search based on text and image retrieval.
• Dynamic risk price assesment - Demonstrates training and deploying a sklearn model within a Flask endpoint.
• Music genre classification - Implements a reusable workflow with MLflow, W&B logging, and Hydra for running multiple configurations.
• AirBnB rental price prediction - Features a reusable workflow for predictive modeling using MLflow, W&B, and Hydra.
• Census classification - An MLOps project utilizing DVC, S3, GitHub Actions, FastAPI, and deployment on Heroku.
• Churn prediction - Provides a basic structure for a customer churn prediction project.