Banking Analytics and Operational Automation

Project overview

This body of work includes internal applications and analytical solutions supporting campaign planning, customer segmentation, risk assessment, re-KYC classification, and operational decision-making.

Problem

Marketing, risk, and operations teams needed dependable internal tools to translate customer and campaign data into timely decisions.

Solution

Delivered analytics and automation applications for campaign planning, customer segmentation, risk classification, and operational workflows.

• Campaign analytics and performance reporting
• Customer segmentation and risk assessment
• Risk-based re-KYC classification support
• Operational workflow automation

Technology stack

My role

I developed Python and Django applications, PostgreSQL data models, JavaScript interfaces, machine learning workflows, reporting features, and stakeholder-led product improvements.

Business impact

The applications contributed to business efficiency by giving internal teams faster access to actionable customer and campaign intelligence and by automating repeatable operational work.

Contributed to measurable business efficiency and provided internal teams with faster, more actionable decision support.