Interactive Power BI dashboard analyzing credit card transactions to uncover spending patterns, customer insights, and key financial KPIs for data-driven decision-making.
This Credit Card Financial Dashboard project was developed to provide comprehensive, data-driven insights into credit card operations and customer behavior. The dashboard enables financial institutions to monitor key performance indicators, identify trends, and make informed strategic decisions in real-time.
Credit Card Fraud Detection Using SQL
This project converts a Jupyter-based machine learning model into a modular, cloud-ready data engineering pipeline using Python, AWS S3, and PostgreSQL. It enables automated data ingestion, transformation, and loading of credit card transaction data for downstream analysis or modeling.
An interactive Power BI dashboard developed using credit card transaction and customer data imported from MySQL. It enables business stakeholders to explore financial performance, customer behavior, and transactional insights to drive data-backed decisions and increase credit card sales. Supports automatic refreshes of data.
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