I've improved reporting accuracy by 25% at Howden Insurance Brokers by optimizing SQL queries across 2.5L+ records and building Python ETL pipelines with data-quality checks.
I build analytics products including Power BI dashboards, customer churn and revenue intelligence systems, and predictive maintenance models. My projects use Python, SQL, Scikit-learn, PySpark, Power BI, AWS, Docker, and CI/CD automation.
I've deployed FastAPI microservices with Docker and Kubernetes, built an eight-stage ML pipeline with 91% accuracy, and automated releases to reduce cycles from 45 to 8 minutes.
