Husain Ridwan

I’m a Risk & Data Analyst focused on turning loan and customer behavior data into decision-ready insights. With a B.Sc. in Electrical & Electronics Engineering (4.40/5.00 CGPA) and coursework in Statistical Analysis and Numerical Methods, I build analytics that support credit, product, and operations teams—especially around repayment performance and risk signals.

At Quickcheck (Lagos, Remote), I analyzed 5,000+ weekly loan records using Python, SQL, and Excel to monitor segmentation, portfolio performance, and delinquency trends. I built and maintained 15+ interactive dashboards for default rates, collections, loan disbursements, funnel performance, fraud indicators, and operational KPIs—reducing reporting turnaround time by 40% while improving business visibility. Through investigations across onboarding, OTP drop-offs, credit bureau performance, virtual accounts, card addition fraud, and lending policy changes, I helped improve repayment rates from 76% to 85% in 3 months. I also build data engineering and modeling solutions, including a production-style Probability of Default model on 600,000+ digital loan records (achieving AUC of 0.76) and an automated ETL pipeline using Apache Airflow and AWS Redshift with data quality monitoring and reproducible workflows.