Using Google Maps API & Python for Banking Customer Visualization

This portfolio showcases how I used geospatial data and automation to identify and visualize high-potential customer segments in the banking industry, enabling smarter sales strategies and resource allocation.

🧠 Project Objective

To develop a location-based mapping tool that visualizes potential customers using Google Maps API and Python, supporting regional banking teams in identifying areas with high financial service demand.

🔍 Key Features

• 🗺️ Integrated Google Maps API for geolocation and visualization
• 📊 Mapped potential customers by demographic & business data
• 🐍 Used Python for data cleaning, clustering, and mapping
• 📍 Highlighted zones with high potential for credit card, loan, and savings account penetration
• 🧠 Supported by customer profiling (age, occupation, business type, distance to nearest branch)
• 📌 Identified unserved and underserved regions
• 🧮 Helped inform branch expansion and targeted sales outreach

💼 Use Case: Banking Industry

This mapping project is designed to help banks:

• 🎯 Identify high-potential zones for B2C and B2B sales
• 🧾 Understand customer density & proximity to bank services
• 🧠 Make data-driven decisions for branch locations & mobile sales