Credit Card Fraud Trend Analysis via Time Series VisualizationCredit Card Fraud Trend Analysis via Time Series Visualization
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Transaction amount trends over time (credit card fraud)
Visualized how transaction amounts evolved over time to spot patterns that may signal periods of higher fraud risk.
Details / full description:
Plotted transaction amounts over time for both fraudulent and legitimate transactions.
Looked for spikes, clusters, and unusual periods in the time series.
Used this view to discuss how monitoring transaction streams can help flag emerging fraud activity earlier.
Demonstrated how simple visualizations support analysts and data scientists in designing better alerts.
Skills: Data analysis, Time series analysis, Data visualization Tools: Python, Pandas, Matplotlib
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