My Projects

Detailed case studies of selected work

Project Case Studies

ApplianceSense

ApplianceSense

Overview: AI-powered chatbot for conversational access to appliance manuals, using lightweight language models, FAISS for semantic search, and Tesseract OCR.

Methodology

Used advanced spatial analysis techniques to process large geospatial datasets
Implemented machine learning models to identify patterns and predict outcomes
Created interactive visualization dashboards for stakeholder communication
Optimized data workflows to improve processing efficiency
FAISS Tesseract OCR Python Flask LLM Integration
PropIntel

PropIntel

Overview: Property management platform automating data ingestion with interactive dashboards for real-time insights into expenses and maintenance tasks.

Methodology

Used advanced spatial analysis techniques to process large geospatial datasets
Implemented machine learning models to identify patterns and predict outcomes
Created interactive visualization dashboards for stakeholder communication
Optimized data workflows to improve processing efficiency
Python Flask PostgreSQL Chart.js ETL
Meteorological Drivers of Influenza

Meteorological Drivers of Influenza

Overview: Analysis of influenza cases alongside climate data using Spatial Bayesian Distributed Lag Non-Linear Models to quantify climate-influenza relationships.

Methodology

Used advanced spatial analysis techniques to process large geospatial datasets
Implemented machine learning models to identify patterns and predict outcomes
Created interactive visualization dashboards for stakeholder communication
Optimized data workflows to improve processing efficiency
R Bayesian Statistics Spatial Analysis R Shiny
Salmonella & Climate Patterns

Salmonella & Climate Patterns

Overview: 32-year study investigating correlations between temperature, rainfall, floods, and Salmonella outbreaks using Bayesian spatiotemporal methods.

Methodology

Used advanced spatial analysis techniques to process large geospatial datasets
Implemented machine learning models to identify patterns and predict outcomes
Created interactive visualization dashboards for stakeholder communication
Optimized data workflows to improve processing efficiency
R Bayesian Models GIS Climate Data Analysis
Ethnic Evolution: Mapping Victoria’s Demographic Transitions

Ethnic Evolution: Mapping Victoria’s Demographic Transitions

Overview: An interactive Shiny dashboard visualizing two decades of migration-driven demographic changes in Victoria, Australia. Combines choropleth maps, Sankey diagrams, clustering, and heatmaps to highlight how ethnic communities shift over time and across LGAs.

Methodology

Used advanced spatial analysis techniques to process large geospatial datasets
Implemented machine learning models to identify patterns and predict outcomes
Created interactive visualization dashboards for stakeholder communication
Optimized data workflows to improve processing efficiency
R Shiny Leaflet Plotly GIS Data Wrangling