LearnTrad API is a microservices-based backend system built to support a trading simulation and technical analysis platform. It provides services such as authentication, customer and admin management, market data handling, fetch quiz generation, top-up system, and trade placing simulation and processing — all designed using Spring Boot and deployed using Kubernetes.

This e-commerce data analysis project involved Data Wrangling, Cleaning, Exploratory Analysis, RFM Analysis and GeoSpatial Analysis to uncover sales trends and customer behavior. Key insights were visualized and deployed with an interactive Dashboard using Streamlit.

In this machine learning portfolio project, I analyzed customer behavior data using K-Means clustering to segment customers into distinct groups. I then applied the Random Forest classification algorithm to predict customer categories and identify patterns for targeted marketing strategies.

The Bucket Cinema API provides a set of RESTful endpoints for managing data related to a movie platform. It is A robust Java-based RESTful API for managing a comprehensive movie theater system, tested with JUnit & Mockito, achieving 90% unit test coverage.