Quality Assurance Intern

Magnify Access is seeking to enhance the quality assurance processes of its SaaS solutions to ensure optimal performance and user satisfaction. The goal of this project is to draft test plans for identifying potential areas of improvement in the existing QA protocols, perform system testing and document results. By the end of the project, learners will have gained practical experience in quality assurance within a SaaS environment, preparing them for future roles in software development and testing.

Teal Climate - Global Database Expansion System

Teal Climate is seeking to enhance its database update systems to achieve global coverage. The current databases contain over a hundred thousand rows compiled from various online sources, focusing on limited geographic areas. The goal of this project is to develop a system that can extrapolate these limited geographic databases to achieve comprehensive global coverage. This will involve utilizing relevant data and machine learning models to predict and fill in gaps in the existing data. The project will provide learners with the opportunity to apply their knowledge of database management, data analysis, and machine learning. The tasks will include analyzing the current database structure, identifying gaps, and developing algorithms to extrapolate data for global coverage. - Analyze the current database structure and identify geographic data gaps. - Develop machine learning models to predict and fill in missing data. - Test and validate the accuracy of the extrapolated data. - Document the process and results for future reference.