Usman Mughal

I’m an Associate Data Engineer and Data Science graduate who turns raw data into actionable insights by building and optimizing scalable data systems. In my current role, I deploy and manage cloud-based infrastructure on AWS with a strong focus on cost-effective scalability, and I support Python + SQL ETL pipelines to keep business analytics data flowing reliably. I also monitor and optimize pipeline performance, resolving bottlenecks to improve processing times.

My background also blends analytics and applied ML: as a Data Analyst Intern, I automated internal data operations with n8n and improved workflow efficiency by 40%, while creating real-time eazyBI dashboards. Previously, I delivered end-to-end data analysis and machine learning solutions (including predictive modeling) and built computer vision tools using TensorFlow and OpenCV. I’m equally energized by projects like PetNutriCare (generative AI + NLP with explainable AI using SHAP), real-time Sign Language Detection with low-latency inference, and an end-to-end serverless AWS data pipeline using S3, Glue, Athena, and QuickSight—always with the goal of measurable business impact.