July 2025 monthly summary for giovanirojascuela/2025_5TO01: Delivered an end-to-end Spam Classification Notebook (SVM) with data loading, preprocessing, training, evaluation, and a predictor for new emails using features such as number of links, sender score, and ALL CAPS usage. Implemented notebook lifecycle improvements including creation of PRACTICA_14.ipynb via Colab and cleanup/removal of an unused ALANOCA_PARIZACA_ANDRES_ABEL_eva_PARTE01.ipynb, enhancing repository hygiene and maintainability. These efforts reduce manual email triage time and establish a reproducible ML workflow for future enhancements.

June 2025: Key feature delivery focused on data-driven forecasting for coffee sales in repository GiovaniRojasEscuela/2025_5TO01. Delivered an end-to-end Coffee Sales Forecasting Notebook and ML pipeline in Google Colab, including data analysis, feature engineering (temporal features and categorical encoding), data loading, preprocessing, model training, and serialization of both the model and preprocessing steps. The effort enables identification of the most sold coffee type and the day with the highest sales, supporting inventory optimization and revenue forecasting. No major bugs fixed this month; the work prioritized feature delivery and pipeline reliability.

Concise monthly summary for May 2025 highlighting the delivery of key features, bug fixes, and overall impact across two repositories. Demonstrated strong documentation hygiene, contribution attribution, and curriculum development for learner-focused JavaScript content. Emphasis on business value through improved documentation quality and enhanced training materials, along with solid technical execution in JavaScript and Node.js module usage.