June 2025: Key features delivered: Sales Prediction Notebook and Data Analysis Pipeline for 2025_5TO01 enabling data upload, feature engineering, visualization, and a TensorFlow Keras regression model for sales forecasting based on temporal features and coffee types. Major bugs fixed: none reported this month. Overall impact: provides an end-to-end, reproducible analytics workflow that supports data-driven forecasting and inventory planning, accelerating decision-making. Technologies/skills demonstrated: Python, pandas, TensorFlow Keras, Colab, data ingestion, feature engineering, EDA, model training, and reproducible notebook-based deliverables.

May 2025 performance summary: Key feature delivered: JavaScript Fundamentals Learning Module in the giovanirojascuela/p02_ssh repository. The module introduces core JavaScript concepts (operators, object manipulation), demonstrates module imports/exports, and includes basic Node.js OS information retrieval through practical example files. Major bugs fixed: None reported this month. Overall impact and accomplishments: Enriched curriculum with a practical, self-contained learning module that enables hands-on practice, improves onboarding speed for new learners, and provides a traceable delivery artifact. Technologies/skills demonstrated: JavaScript (including ES modules), Node.js APIs, and basic systems information retrieval. Key achievements: - Delivered JavaScript Fundamentals Learning Module with examples for operators, object manipulation, and ES modules in the target repo. - Added Node.js OS information retrieval examples to illustrate runtime environment access. - Established traceability with commit 43adf9a1f1b828fec545c1885653d12ca4e4c491. - Aligned the module with curriculum objectives to support faster learner onboarding and hands-on practice.