Hafsa Baig

Research Assistant, FRSG Lab · FAST NUCES, Karachi

I work at the intersection of natural language processing, computational social science, and economics, using data-driven methods to understand real-world social and economic outcomes.

About

After completing my bachelor's degree in Software Engineering, I pursued an M.S. in Data Science at FAST NUCES Karachi, graduating with a 4.0 CGPA. I then worked as an R&D Intern in the Big Data division at the State Bank of Pakistan. I'm currently a Research Assistant at FAST NUCES's FRSG Lab, where I'm working on an AI-enhanced adaptive learning project for special needs education.

Research focus

NLP, Deep Learning, Computer Vision, LLMs, Intersection of AI with economics and social outcomes.

Selected work

News-Based Sentiments for Pakistan and its predictive role in macroeconomic factors

M.S. Thesis

Forecasted Pakistani inflation and business confidence using sentiment extracted from a 240,000+ document bilingual (English/Urdu) news corpus, with FinBERT, MuRIL, and XLM-RoBERTa. An ARX model incorporating sentiment improved RMSE by 29.7% for CPI and 33.8% for the Business Confidence Index over an AR baseline.

Indirect Spillovers of the FIFA World Cup 2026 on Non-Host Emerging Economies

Sports economics paper

Examines how a mega sporting event hosted elsewhere can still produce measurable economic spillovers for emerging economies that aren't hosting it.

Posted on SSRN

Multi-Agent RAG System for Economic Policy Documents

Course project

Built with CrewAI, ChromaDB, LLaMA 3.1 8B, Streamlit, and RAGAS over 17,102 chunks drawn from SBP, IMF, and Ministry of Finance documents.