Noman Kazi

I am a Master's student in Computer Science with hands-on experience in Python development, data engineering, and backend systems. I build ETL pipelines, design dimensional models, and work with PostgreSQL to deliver production-style data solutions.

My projects include a municipal procurement data warehouse handling 1.1M+ rows and €37.3B in spending, an e-commerce platform built with React and Django, and a streaming app with recommendation features. I apply pandas, NumPy, and SQL to clean, transform, and analyze messy real-world data.

I am completing a thesis on deepfake detection using deep learning and have practical experience with PyTorch, Hugging Face, and Vision Transformers. I value rigorous validation, data quality, and reproducible workflows using Git and Jupyter.

I seek roles where I can contribute to data-intensive systems or analytics, continue learning, and grow by solving real-world problems with robust engineering and machine learning approaches.