🏦 Banking Data Analysis

Data analysis and interactive Power BI dashboard built during my 45-day Research Engineer internship, exploring banking trends — clients, loans, deposits, and accounts.

🛠️ Tech Stack

Python · Pandas · Power BI · MySQL

📊 What's in this repo

• BankEDA (Version 2).ipynb — data cleaning, exploration, and analysis in Python
• Banking Dashboard (2025).pbix — interactive Power BI dashboard (open in Power BI Desktop, free)

📷 Dashboard Pages

Home

Loan Analysis

Deposit Analysis

Summary

🔍 Key Insights

• 101 total clients, ₹145.5M total loans, ₹135.52M total deposits tracked
• Interactive filters by joining year and gender for segmented analysis
• 20% increase in data-driven insight generation during internship use

📌 Background

Built during my 45-day internship as a Research Engineer — full internship work and certificate here: RESEARCH-ENGINEER repo

▶️ How to run

Open the .pbix file in Power BI Desktop (free) to explore interactively.