
Developed two foundational features for the Lofhel/LOFHEL repository, focusing on data-driven production optimization and scalable data management. Delivered a web-based financial calculator using HTML and JavaScript, enabling users to estimate production losses, calculate potential savings from proposed solutions, and project annual returns based on the SELIC rate. Designed and implemented the initial database schema in SQL, establishing core tables with primary keys, data types, constraints, and defaults to support robust data modeling. The work emphasized disciplined version control and laid a stable groundwork for future analytics, prioritizing feature delivery and maintainability without addressing major bug fixes during this period.
March 2025 performance highlights for Lofhel/LOFHEL: Delivered two foundational capabilities for data-driven production optimization and scalable data management. Lofhel Financial Calculator: Web-based tool to estimate production losses (e.g., 27%), savings from proposed solutions (e.g., 5%), monthly and semi-annual loss scenarios, and annual returns based on the SELIC rate. Finalized in three commits: 165c7e8088ba59ea4d37719256f671dd36b2c4f3; c9e19d99341375391a49212ea64d44db8f2bc288; b6bd023d173aab29d3820596f77925683e85baf9. Lofhel Database Schema Initialization: SQL script to create the Lofhel database and core tables (CadastroEmpresa, sensor, vinho) with primary keys, data types, constraints, and defaults, establishing foundational data model. Commit: 0940f4bdef4fd501d8a5e55c6f125d90321c1fda. Overall impact: Enables ROI analysis, risk assessment for wine production, and scalable analytics; solid foundation for future features. Technologies demonstrated: Web-based calculator development, SQL database design, data modeling, constraints/defaults, and disciplined version control.
March 2025 performance highlights for Lofhel/LOFHEL: Delivered two foundational capabilities for data-driven production optimization and scalable data management. Lofhel Financial Calculator: Web-based tool to estimate production losses (e.g., 27%), savings from proposed solutions (e.g., 5%), monthly and semi-annual loss scenarios, and annual returns based on the SELIC rate. Finalized in three commits: 165c7e8088ba59ea4d37719256f671dd36b2c4f3; c9e19d99341375391a49212ea64d44db8f2bc288; b6bd023d173aab29d3820596f77925683e85baf9. Lofhel Database Schema Initialization: SQL script to create the Lofhel database and core tables (CadastroEmpresa, sensor, vinho) with primary keys, data types, constraints, and defaults, establishing foundational data model. Commit: 0940f4bdef4fd501d8a5e55c6f125d90321c1fda. Overall impact: Enables ROI analysis, risk assessment for wine production, and scalable analytics; solid foundation for future features. Technologies demonstrated: Web-based calculator development, SQL database design, data modeling, constraints/defaults, and disciplined version control.

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