Over a three-month period, contributed to the giovanirojascuela/2025_5TO01 repository by building backend APIs for book and country management, integrating database-backed contact management, and enhancing onboarding documentation. Leveraged JavaScript, Node.js, and Express.js to implement CRUD operations with JSON persistence and database configuration, while addressing code stability through targeted bug fixes. Expanded the project’s analytical capabilities by developing Jupyter Notebooks for sales forecasting and sentiment analysis, utilizing Python, Pandas, and Scikit-learn to enable data-driven insights. The work emphasized maintainability, precise data handling, and reproducible workflows, supporting both rapid prototyping and onboarding for future data science and backend development efforts.
Month: 2025-07 — Delivered an end-to-end Sentiment Analysis Notebook Demo (Naive Bayes) in giovanirojascuela/2025_5TO01. Focused on rapid prototyping and knowledge transfer by providing a Google Colab-compatible notebook that demonstrates text vectorization, model training, and prediction for sentiment classification. This work establishes an actionable, reproducible baseline enabling data science onboarding and future expansions (e.g., TF-IDF, alternative classifiers).
Month: 2025-07 — Delivered an end-to-end Sentiment Analysis Notebook Demo (Naive Bayes) in giovanirojascuela/2025_5TO01. Focused on rapid prototyping and knowledge transfer by providing a Google Colab-compatible notebook that demonstrates text vectorization, model training, and prediction for sentiment classification. This work establishes an actionable, reproducible baseline enabling data science onboarding and future expansions (e.g., TF-IDF, alternative classifiers).
June 2025 monthly summary for giovanirojascuela/2025_5TO01: Focused on delivering foundational capabilities and analytics to enable data-driven decisions. Key features delivered include backend groundwork for Contact Management with precise numeric handling and ES6 default exports, and a Sales Analytics Notebook for forecasting. No major bugs fixed this month; emphasis was on stability, maintainability, and setting up analytics workflows that support ML-driven forecasting.
June 2025 monthly summary for giovanirojascuela/2025_5TO01: Focused on delivering foundational capabilities and analytics to enable data-driven decisions. Key features delivered include backend groundwork for Contact Management with precise numeric handling and ES6 default exports, and a Sales Analytics Notebook for forecasting. No major bugs fixed this month; emphasis was on stability, maintainability, and setting up analytics workflows that support ML-driven forecasting.
May 2025: Delivered backend features for Giovanirojascuela/2025_5TO01 including Book Management API with CRUD and JSON persistence, Countries CRUD API, and Contacts Database Integration. Enhanced documentation and educational content; fixed a JavaScript syntax error. These efforts deliver faster prototyping, safer data handling, and improved developer onboarding, aligning with business goals of rapid feature delivery and maintainability.
May 2025: Delivered backend features for Giovanirojascuela/2025_5TO01 including Book Management API with CRUD and JSON persistence, Countries CRUD API, and Contacts Database Integration. Enhanced documentation and educational content; fixed a JavaScript syntax error. These efforts deliver faster prototyping, safer data handling, and improved developer onboarding, aligning with business goals of rapid feature delivery and maintainability.
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