Rufus Mathew

About Rufus Mathew

Results-oriented Strategy & Analytics professional with 2 years of experience in banking strategy and digital recovery analytics, leveraging data-driven insights to optimize customer segmentation, channel allocation, and resolution outcomes. Proficient in SQL, Python, Excel, and Power BI for data extraction, analysis, automation, and performance reporting. Hands-on experience applying machine learning techniques, including Logistic Regression and Random Forest, to drive risk-based prioritization and inform collections strategy through feature importance analysis. Demonstrated strong problem-solving capabilities and a collaborative approach, partnering with business, risk, and operations teams to improve efficiency, reduce delinquency, and enhance overall recovery performance.

Experience

1. Data Analyst

   Axio

   Jan 2024 — Present · Bengaluru, IN

   Built and automated Power BI dashboards for pan-India digital collections, APR, and agent performance tracking.• Used Random Forest & XGBoost and clustering to identify high-impact customer segments and improve resolution performance.• Designed DAX measures and data models to ensure accurate, real-time reporting and insights.• Performed MTD vs OTD and nudge-effectiveness metrics to understand how the comms performs.• Created a Python-based data validation tool to ensure high accuracy in communication and reporting data.• Worked closely with business and operations teams to deliver actionable, data-driven insights.

Education

• THE AMERICAN COLLEGE

  Bachelor's degree, Mathematics

• 360DigiTMG

  Certification, Data Science

• Madurai Kamaraj University

  Master's degree, Mathematics