
Developed and delivered a full-stack House Price Predictor within the kietmcaproject/2024-25_KCA353_Project repository, enabling end-to-end pricing experiments for the GA12 environment. The work included setting up a modular subproject architecture, implementing backend authentication and prediction persistence using Node.js and Python, and building a React-based frontend. Integrated RESTful APIs facilitated secure data handling and location-based prediction routes, while technical debt was reduced through targeted repository cleanup and removal of legacy files. This approach improved maintainability and accelerated time-to-market for new pricing features, establishing a reusable foundation for future modules and supporting cross-functional integration across the stack.
December 2024 performance summary: Delivered a cohesive House Price Predictor initiative within GA12, combining subproject setup, full-stack MVP, and repository cleanup to unlock end-to-end pricing experiments. Key outcomes include: (1) Subproject Setup: GA12 integration and repository linkage for the House Price Predictor; (2) Full-Stack MVP: End-to-end implementation with backend authentication, prediction persistence, location routes, and a React frontend; (3) Cleanup and technical debt reduction: removal of stale subproject references and legacy backend files to streamline the codebase. Business impact: faster time-to-market for pricing experiments, improved maintainability, and a reusable architecture for future modules. Technologies demonstrated: React frontend, backend authentication, RESTful routes, data persistence, module isolation, and GA12 environment onboarding.
December 2024 performance summary: Delivered a cohesive House Price Predictor initiative within GA12, combining subproject setup, full-stack MVP, and repository cleanup to unlock end-to-end pricing experiments. Key outcomes include: (1) Subproject Setup: GA12 integration and repository linkage for the House Price Predictor; (2) Full-Stack MVP: End-to-end implementation with backend authentication, prediction persistence, location routes, and a React frontend; (3) Cleanup and technical debt reduction: removal of stale subproject references and legacy backend files to streamline the codebase. Business impact: faster time-to-market for pricing experiments, improved maintainability, and a reusable architecture for future modules. Technologies demonstrated: React frontend, backend authentication, RESTful routes, data persistence, module isolation, and GA12 environment onboarding.

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