About the Role

Working with Team 4/5 of SMART M3S, focusing on AI-driven solutions for urban mobility, economic growth, and human-machine collaboration.

My work involves building NLP extraction pipelines to analyze global firms’ annual reports, extracting key metrics that contribute to an ongoing research paper

Additionally, I conducted spatiotemporal analytics on GPS mobility data to identify commuter profiles via KMeans clustering, and detect patterns in Points of Interest (POI) using Apriori and Edit-Distance metrics.

I also support broader academic research through literature reviews on mobility behavior, urban networks, and economic dynamics — contributing to discussion/publications focused on sustainable city planning and resource allocation.