A predictive analytics platform written in Python that combines machine learning and human decision making to ensure a consistent and quicker candidate sifting whilst reducing both the risk of missing hidden gems & hiring unsuitable candidates.
A recruitment analytics platform written in Node.js. It is a tool that provides insights on reviewer scoring consistency and bias aiming to ensure fairer, more consistent hiring decisions.
Technologies:
Application Layer: Node.js (ES6), Express.
Data Layer: PostgreSQL, Sequelize ORM, ironMQ.
Testing, Devops, CI: Mocha, testem, Docker, GitHub, Circle CI.