💼 My Projects

Developed an innovative educational platform supporting dysgraphia students in Sri Lanka with Sinhala voice-to-text conversion and grammar feedback. Implemented separate portals for students and teachers with comprehensive accuracy analysis.

Developed an AI-powered web application to analyze and summarize complex policy documents using Natural Language Processing (NLP). Implemented Latent Semantic Analysis (LSA) for structured summaries and integrated a generative recommendation module with a chatbot for interactive policy querying.

Developed a time-series demand forecasting system using ARIMA and Prophet models, featuring automatic best model selection based on RMSE. Built an interactive Streamlit dashboard to visualize historical sales trends, forecast results, confidence intervals, and anomalies for better decision-making.

Designed and built a sustainable carbon footprint calculator using Ballerina framework, providing accurate CO₂ emissions analysis. Developed modular architecture with real-time analytics for environmental impact insights.

Implemented an intelligent hotel recommendation system utilizing Reinforcement Learning Q-Learning algorithms. Engineered adaptive decision-making capabilities to provide personalized accommodation suggestions based on user preferences and behavior patterns.

Conducted comprehensive data ingestion and cleaning of UK Managed Migration datasets using Azure SQL Database. Created advanced Power BI visualizations to analyze migration trends, patterns, and demographic insights across multiple years.

Analyzed decade-long energy performance trends across Manchester's local authorities using advanced SQL queries and Power BI dashboards. Identified sustainability patterns and provided actionable insights for energy efficiency improvements.

Performed data ingestion, cleaning, and comprehensive analysis of United Nations Sustainable Development Goals datasets. Developed interactive Power BI dashboards showcasing global progress metrics and country-level performance indicators.

Applied classification, clustering, and association rule mining techniques on UK council spending datasets using R programming. Discovered spending patterns and anomalies to support evidence-based policy recommendations.

Developed logistic regression models on London Fire Brigade incident records using Python to predict incident severity and response outcomes. Enhanced emergency response planning through data-driven risk assessment and pattern identification.

Built interactive Plotly dashboards in R for UK council spending analysis, enabling stakeholders to explore expenditure patterns dynamically. Facilitated transparent budget monitoring and financial accountability through intuitive visualizations.

Analyzed Australian government passenger travel datasets by transport mode using advanced SQL and Power BI. Identified commuting trends and transportation infrastructure utilization patterns to inform policy development.

Conducted comprehensive analysis of Canadian job market trends for immigrants using SQL and Power BI. Provided data-driven insights on employment opportunities, industry demand, and regional career prospects.

Performed comprehensive analysis of UK property sales trends, performance metrics, and distribution patterns using SQL and Power BI. Delivered market intelligence on pricing dynamics, regional variations, and investment opportunities.

Executed comprehensive Crime Analysis across UK regions using SQL and Power BI, identifying patterns in criminal activity and public safety metrics. Generated actionable insights for law enforcement resource allocation and crime prevention strategies.