Retail Banking EDA & Transaction Analytics Platform
Group: Capstone Project
|Product Category: BI Reporting & Analytics
|Sub Category: Data Analysis
About this Product
Retail Banking EDA & Transaction Analytics Platform is an advanced, full-stack capstone project that takes you through the complete data lifecycle of a real banking system — from raw nested JSON ingestion, through an automated 8-step EDA pipeline, into a 14-table normalized PostgreSQL database, all the way to live interactive analytics dashboards.
With this project, you'll build a system that can:
- Ingest nested JSON banking transaction files with duplicate prevention (SHA-256 hashing)
- Run an automated 8-step EDA pipeline — flattening, type casting, cleaning, and multi-dimensional analysis
- Detect fraud and score transaction risk (0–100) with geo-anomaly and VPN flag tracking
- Track 10+ regulatory compliance flags — AML, KYC, FATCA, PEP, CTR, STR, and RBI reporting
- Serve real-time analytics across 7 interactive dashboards with Chart.js visualizations
This project teaches you practical skills like:
- Full-stack data engineering (ingestion → EDA → database → dashboard)
- Production-grade normalized database design (14 tables, star schema)
- Exploratory Data Analysis with Pandas and NumPy on real-world financial data
- Banking domain knowledge — Indian regulatory compliance, PAN, Aadhar, SWIFT, IBAN
It uses Python, Fast API, SQL Alchemy, PostgreSQL, Alembic, Pandas, NumPy, and Chart.js on a Vanilla JS frontend.
Why this project matters: Banking data engineering is one of the highest-paying domains in data roles. This project gives you the domain depth, data integrity thinking, and production-grade engineering patterns that FinTech employers actually look for.
Project Mentor
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