Data is messy.
Decisions shouldn't be.

CodeGen is an AI programming assistant that helps developers write, debug, and optimize code across multiple languages. The system understands project context, coding standards, and best practices to provide relevant suggestions and automated implementations. In user testing, CodeGen increased developer productivity by 35% and reduced debugging time by 28%.

Python · LLM · Code Generation

This healthcare flow SQL model provides a comprehensive solution for tracking and optimizing patient journeys through medical facilities. It includes custom views and stored procedures for real-time resource allocation, reducing wait times by 35% in pilot implementations.

SQL · Healthcare Analytics · Data Modeling

Airquat is a comprehensive air quality monitoring system that collects data from multiple sensor networks, processes it through a robust ETL pipeline, and presents real-time insights through an interactive dashboard. The system includes anomaly detection algorithms and predictive models for air quality forecasting.

ETL · Python · Environmental Data

This emotion recognition system uses a custom convolutional neural network architecture to identify seven distinct emotional states in real-time video feeds. The model achieves 94% accuracy on benchmark datasets and includes transfer learning techniques to adapt to new environments with minimal retraining.

Python · Computer Vision · Deep Learning

This case study analyzes 15 years of Sydney housing market data to identify key price drivers, neighborhood-specific trends, and cyclical patterns. The analysis incorporates economic indicators, demographic shifts, policy changes, and infrastructure developments to create a comprehensive model of market dynamics that accurately predicted price movements within 4.3% over a subsequent 18-month period.

Python · Real Estate · Market Analysis

This job market analysis project examined over 50,000 LinkedIn job postings to identify emerging skill requirements, salary trends, and industry growth patterns. The analysis used natural language processing to extract key skills from job descriptions and visualized changing demand patterns across different sectors and geographic regions.

Python · Job Market · Data Scraping