Projects
A selection of projects that reflect how I apply data science, optimization, and AI to real decision-making problems.
Demand Forecasting for Sales Planning
Built forecasting workflows on large-scale transactional sales data to support industrial sales-planning decisions and improve predictive accuracy.
Scope: data cleaning, anomaly handling, feature engineering, model tuning, and business-facing evaluation.
RAG Assistant for Disaster Planning Documents
Developed a retrieval pipeline that searches technical disaster-planning documents and returns grounded answers to user questions.
Scope: retrieval, embeddings, fallback search logic, and LLM-assisted technical question answering.
LLM Decision-Support Tool for Hospital Evacuation
Built an AI assistant that translates free-text planning questions into structured inputs for an optimization engine in disaster-response settings.
Scope: prompt design, parameter extraction, user interaction, and operational decision support.
Reinforcement Learning for Hospital Evacuation Optimization
Designed reinforcement learning strategies integrated with metaheuristics to improve decisions under uncertainty in complex evacuation scenarios.
Scope: operator selection, stochastic planning, and optimization for healthcare and disaster management.
For additional context, see my Professional Experience, Publications, and Talks.