End-to-end customer churn analysis using SQL, Python, and Power BI to identify churn drivers and predict high-risk customers using Random Forest.
A professional Power BI dashboard analyzing bank loan applications, approval rates, credit score impact, and customer demographics to support data-driven lending decisions.
A simple Banking Dashboard built with HTML, CSS, and JavaScript that allows users to view their balance, make deposits, withdraw money, and track their last transaction with real-time updates and validation.
This Banking Analytics project i used Excel, Power BI, Tableau, and MySQL. It includes raw banking data, credit and debit insights and advanced SQL Queries. The project demonstrates my skills in data modeling, data cleaning, DAX calculations, and dashboard design for actionable decision-making.
Power BI dashboards developed for learning and analysis, based on Hashtag Treinamentos' minicourse. Includes Sales, Production, HR, and Banking dashboards
Add a description, image, and links to the banking-dashboard topic page so that developers can more easily learn about it.
To associate your repository with the banking-dashboard topic, visit your repo's landing page and select "manage topics."