July 2025 monthly summary focusing on delivering end-to-end sales forecasting capability in the Giovanirojascuela project, with a notebook-driven workflow that supports data loading, preprocessing, feature engineering, and training a Decision Tree Regressor. The effort includes weekly sales visualization and data preparation for model training, with a clear path to production-ready ML iterations.

June 2025 performance summary for Giovanirojascuela/2025_5TO01: Delivered a reusable Google Colab notebook template for end-to-end data science workflows, enabling rapid experimentation in data analysis, feature engineering, and predictive modeling with TensorFlow Keras. The template includes integrated visualization components (histograms and heatmaps) to support data-driven decision making. The work establishes a foundation for scalable ML prototyping across teams and improves onboarding for new contributors.

May 2025 monthly summary: Delivered foundational features, enhanced developer workflow, and strengthened documentation across two repositories. No major bugs fixed this month; primary focus on enabling rapid prototyping, code quality, and onboarding. Impact: faster integration and testing for front-end consumers via a lightweight Books API, improved server-side routing for Countries, and better team collaboration through updated docs. Skills demonstrated include Node.js REST APIs, JSON file storage, route development, development tooling (nodemon, semver, middleware), ES/CommonJS modules, and documentation governance.