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.
Statistical analysis of credit card purchase behavior across 1,603 consumers — testing whether social media exposure predicts dominant card selection using Chi-Square testing, demographic profiling, and platform-specific breakdowns in Excel.
Credit Card Fraud Detection Using SQL
Interactive Power BI dashboard analyzing 667K credit card transactions and 57M revenue to uncover customer behavior, spending patterns, and business insights.
Financial analytics case study analyzing credit card transaction behavior using Python, Pandas, visualization, and business intelligence techniques.
Interactive Power BI dashboard for analyzing credit card revenue, customer behavior, transaction trends, and financial KPIs.
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.
Credit Card Financial Dashboard built with Power BI — includes transaction report and customer analytics
Interactive Power BI dashboard for credit card transaction and customer analysis using SQL, DAX and Power Query.
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.
Power BI dashboard analyzing credit card transactions, customer demographics, and spending behaviour
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