End-to-end credit risk platform built from 1.1M+ transaction records, combining predictive modeling, explainability, APIs, and a web interface. Addresses class imbalance and temporal feature engineering, benchmarks XGBoost against a deep neural network (AUC 0.945), and serves SHAP explanations through a Flask API and Next.js frontend.
Full-stack AI application for soccer match search and video discovery using RAG, semantic retrieval, ranking logic, and a Next.js/FastAPI architecture. Uses SentenceTransformers and ChromaDB with recency-aware ranking, home/away team interpretation, official-source prioritization, and automated filtering of simulations and low-quality content.
A Next.js application that predicts apartment prices using machine learning models. Features an interactive interface for users to input property details and receive price predictions.
A robust backend API for e-commerce applications built with NestJS. Features user authentication, product management, order processing, and comprehensive testing suite.
A modern web application for tracking and analyzing stock market data. Built with Vite and React, featuring real-time market data visualization and interactive charts.
A comprehensive data science project focused on algorithmic trading strategies. Features financial data analysis, trading algorithms, and market prediction models using Python.
A comprehensive Windows Forms application for managing Shoprite's inventory system. Features user authentication, inventory tracking, and business management tools built with C#.
A React Native mobile application for crop management and agricultural assistance. Features user authentication, data management, and Firebase integration for real-time updates.