July 2025 monthly summary: Delivered a Colab-ready Housing Prices Linear Regression Notebook for the Giovanirojascuela/2025_5TO01 repository, enabling quick experimentation with simple linear regression to predict housing prices. The end-to-end notebook covers library installation, data loading, preprocessing, model training, predictions, evaluation, and visualization, supporting reproducible data science workflows and faster decision-making around pricing strategies.

June 2025: Delivered a reproducible Coffee Shop Sales Analysis Colab Notebook enabling data loading from CSV, datetime conversion, and visualization of sales trends by time and coffee type; prepped data for machine learning by encoding categorical features and separating features from the target variable. Established a reusable EDA workflow in Colab to support data-driven decisions and potential predictive analytics.

May 2025 performance summary focused on documentation accuracy, contributor attribution, and repository hygiene. Key actions: updated the README contributors in Giovanirojascuela/2025_5TO01 to include Claudio Emerson Vilca Calcina/Calsina (commits: 9fee02c7091c43ce7c64506a7d1e2e11b7df2cc6; f9f3bd817646f46660ef576517002e2e55b7acc9). In Giovanirojascuela/p02_ssh, identified a No-Op Placeholder Commit (Diethmar_Ejercicio_NodeJS.js) with no functional changes (commit: 74c774d269718ab6ace166b66f7584c9233bb314). No features or bug fixes were delivered this month; instead, the work focused on repository hygiene, documentation accuracy, and governance. Overall impact: improved onboarding, clearer attribution, and reduced noise for future changes. Technologies/skills demonstrated: Git, README maintenance, attention to detail, cross-repo coordination, and documentation discipline.