Cycles

Cycles helps users track menstrual health and pregnancy information through personalized forecasts generated from individual health data and research-backed cycle patterns. The platform was designed to make complex health information easier to understand through an accessible daily tracking experience.

The application supported more than 250 users and placed second among 13 internship teams for product impact and technical execution.

I led front-end development of the React application and connected the interface to REST API services and an Azure SQL Server database. The system collected user health information, processed it through prediction logic, and returned personalized cycle and pregnancy insights through an interactive calendar and daily tracker.

I also developed ETL workflows with Azure Data Factory and Azure Databricks to transform raw health data, validate its quality, and support reliable ingestion. The application followed an end-to-end software development lifecycle in Azure DevOps, including requirements, implementation, testing, CI/CD deployment, and maintenance.