A selection of work spanning web, mobile, data, and machine learning.
Coming Soon
Developed using C# and built on the .NET framework, serves as a comprehensive tool designed to streamline hospital operations, managing patient records, scheduling, and departmental workflows.
Developed using JavaScript, provides a streamlined solution for scanning and processing user identification documents with real-time facial recognition and data extraction.
Machine learning model designed to predict the likelihood of loan default among clients using historical financial data and feature engineering techniques.
Web application leveraging the ML model to predict loan defaults, providing a user-friendly interface for financial institutions to assess client risk in real time.
End-to-end data solution migrating an on-premise SQL Server database to Azure, implementing Data Factory pipelines, Synapse Analytics, and Power BI dashboards.
Kotlin-based mobile app to track daily water intake and meals, with nutritional breakdowns, progress charts, and reminder notifications.