June 2025: Delivered the Sales Data Notebook and Daily Sales Prediction Model for the repository giovanirojascuela/2025_5TO01, enabling an end-to-end workflow for evaluating sales data and forecasting. The work includes data loading, cleaning, feature engineering, and exploratory data analysis, paired with a TensorFlow Keras model to predict total daily sales. Implementation was performed in Colab, committed as 72151a63caf4068b15c739f991ef969605435329 (Creado con Colab). No major bugs were reported this month; focus was on feature delivery and validation. Impact: provides a repeatable, data-driven approach to forecasting daily sales, supporting better inventory planning and revenue optimization. Technologies/skills demonstrated: Python, Jupyter/Notebook workflows, data wrangling (loading/cleaning/feature engineering/EDA), TensorFlow/Keras model development, Colab environment, and reproducible ML experimentation.

May 2025 focused on strengthening contributor governance, security, and onboarding content for the giovanirojascuela/p02_SSH repository. Delivered three core features, consolidated in 7 commits across the month, and positioned the project for scalable collaboration: - Documentation and Author References: updated README contributor listing and added Yhonatan.md to document authorship and contributions. - Security/Access Setup: SSH-based access configured by adding user public keys and identity files to the repository. - Educational JavaScript samples: added basic JS examples covering variable declarations and foundational concepts.