During March 2025, contributed to the Lofhel/LOFHEL repository by delivering two core features focused on enhancing development and decision support. Built and seeded a demo database with a comprehensive schema for company members, clients, sensors, wines, and wineries, using SQL for both data modeling and seed data generation. Developed an HTML and JavaScript-based loss estimator calculator, enabling users to quantify potential losses from temperature and humidity fluctuations and assess savings from monitoring solutions. Emphasized code readability and data quality by improving documentation and datetime handling in seed scripts, supporting more realistic testing scenarios and facilitating data-driven business decisions.