Data Analyst Specializing in Banking Analytics | From Data Chaos to Strategic Clarity

How can a bank leverage integrated data analytics to gain a unified 360° view of operations, proactively manage risk, improve customer retention, and optimize financial performance?

Project Overview

I developed a comprehensive banking analytics solution integrating six operational domains: transactions, customers, accounts, loans, cards, and support performance.

By transforming raw multi-year datasets into structured data models and executive-ready dashboards, I delivered a centralized decision-support system that reveals trends, detects anomalies, highlights churn risks, monitors portfolio exposure, and tracks operational efficiency.

Key outcomes include:

Analysis of 20,000+ transactions and 5,000 customers

Identification of high-risk and high-value segments

Monitoring of $600M+ loan portfolio exposure

Early detection of churn and operational bottlenecks

Clear KPI frameworks for executive decision-making

Using advanced Excel tools (Power Query, Power Pivot, DAX, KPI modeling, and interactive dashboards), I translated complex financial data into actionable strategic insights.

This project demonstrates my strength in connecting cross-functional data, uncovering hidden patterns, and turning numbers into measurable business value — not just reports, but decision intelligence.