Projects
A collection of projects I've worked on across software engineering, data science, and AI. Each one reflects a specific challenge I tried to solve, what I learned along the way, and the tools I used to get there.
Natural-Language-Driven Transfer Function Optimization for Volumetric Visualization Using Multi-Agent LLMs
Full project report rendered on-page. Multi-agent LLM system that designs and refines transfer functions for volumetric rendering.
Analyzing Wait Time in Canada
Analyzed healthcare wait time trends across Canadian provinces from 2013 to 2023 using CIHI data. Explored COVID-19 impacts, procedure volumes, and provincial performance using Tableau and Python.
Energy Consumption & Efficiency Analysis
Analyzed energy use, emissions, and efficiency across fire stations and office buildings. Applied regex-based data cleaning and statistical analysis to uncover operational insights.
Predicting Bank Churn
Built a real-time sales intelligence platform using LLMs to analyze and predict sales opportunities. Integrated with major CRM systems and implemented advanced NLP for sentiment analysis.
WhatsApp Feedback Analyzer
AI-powered analytics for WhatsApp feedback: real-time ingestion, NLP (sentiment, topic modeling, classification) via Hugging Face/OpenAI, and an interactive dashboard; AWS (Lambda, SQS, DynamoDB, S3, RDS); scale with Dask/Pandas/NumPy/Spark; frontend in Svelte/JavaScript on Netlify.