Hello, I'm
Research Fellow exploring galaxy evolution through cosmological simulations and leveraging data science to solve real-world problems.

I am a Research Fellow at the University of Nottingham, working at the intersection of astrophysics and computational science. My research focuses on understanding galaxy evolution within the cosmic web using state-of-the-art cosmological hydrodynamical simulations like Horizon Run 5 and EAGLE.
With a strong foundation in physics and growing expertise in data science, I apply advanced statistical modeling, machine learning, and data analytics to both scientific research and industry problems — from financial modeling and computer vision to time series forecasting. I hold two applied data science certifications from WorldQuant University and have authored 12 peer-reviewed publications with 100+ citations.
Dual-strategy ML models (LightGBM, Random Forest) with ADASYN and SMOTE+Tomek on 151K accidents, achieving 99.7% recall for severe cases.
RAG chatbot using FAISS/ChromaDB vector stores and sentence-transformers to answer UK immigration questions from GOV.UK data.
Reinforcement learning agent trained on real TfL API traffic data to optimize intersection signal timing and reduce vehicle wait time.